diff --git a/module1-rnn-and-lstm/Santiago_Berniz_LS_DS_431_RNN_and_LSTM_Assignment.ipynb b/module1-rnn-and-lstm/Santiago_Berniz_LS_DS_431_RNN_and_LSTM_Assignment.ipynb new file mode 100644 index 00000000..4ff68e67 --- /dev/null +++ b/module1-rnn-and-lstm/Santiago_Berniz_LS_DS_431_RNN_and_LSTM_Assignment.ipynb @@ -0,0 +1,1375 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "kernelspec": { + "display_name": "U4-S3-MNA-DS11", + "language": "python", + "name": "u4-s3-mna-ds11" + }, + "language_info": { + "name": "python", + "version": "3.7.0", + "mimetype": "text/x-python", + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "pygments_lexer": "ipython3", + "nbconvert_exporter": "python", + "file_extension": ".py" + }, + "nteract": { + "version": "0.23.3" + }, + "colab": { + "name": "Santiago_Berniz_LS_DS_431_RNN_and_LSTM_Assignment.ipynb", + "provenance": [], + "include_colab_link": true + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7zR-2eLUztVY", + "colab_type": "text" + }, + "source": [ + "\n", + "

\n", + "

\n", + "\n", + "## *Data Science Unit 4 Sprint 3 Assignment 1*\n", + "\n", + "# Recurrent Neural Networks and Long Short Term Memory (LSTM)\n", + "\n", + "![Monkey at a typewriter](https://upload.wikimedia.org/wikipedia/commons/thumb/3/3c/Chimpanzee_seated_at_typewriter.jpg/603px-Chimpanzee_seated_at_typewriter.jpg)\n", + "\n", + "It is said that [infinite monkeys typing for an infinite amount of time](https://en.wikipedia.org/wiki/Infinite_monkey_theorem) will eventually type, among other things, the complete works of Wiliam Shakespeare. Let's see if we can get there a bit faster, with the power of Recurrent Neural Networks and LSTM.\n", + "\n", + "This text file contains the complete works of Shakespeare: https://www.gutenberg.org/files/100/100-0.txt\n", + "\n", + "Use it as training data for an RNN - you can keep it simple and train character level, and that is suggested as an initial approach.\n", + "\n", + "Then, use that trained RNN to generate Shakespearean-ish text. Your goal - a function that can take, as an argument, the size of text (e.g. number of characters or lines) to generate, and returns generated text of that size.\n", + "\n", + "Note - Shakespeare wrote an awful lot. It's OK, especially initially, to sample/use smaller data and parameters, so you can have a tighter feedback loop when you're trying to get things running. Then, once you've got a proof of concept - start pushing it more!" + ] + }, + { + "cell_type": "code", + "metadata": { + "execution": { + "iopub.status.busy": "2020-06-15T18:18:20.442Z", + "iopub.execute_input": "2020-06-15T18:18:20.453Z", + "iopub.status.idle": "2020-06-15T18:18:20.513Z", + "shell.execute_reply": "2020-06-15T18:18:20.523Z" + }, + "id": "TUF4Cur5ztVZ", + "colab_type": "code", + "colab": {} + }, + "source": [ + "import requests\n", + "import pandas as pd\n", + "import numpy as np\n" + ], + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "execution": { + "iopub.status.busy": "2020-06-15T18:25:49.778Z", + "iopub.execute_input": "2020-06-15T18:25:49.781Z", + "iopub.status.idle": "2020-06-15T18:25:51.467Z", + "shell.execute_reply": "2020-06-15T18:25:51.469Z" + }, + "id": "Rh6ZRl52ztVg", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 799 + }, + "outputId": "92527e51-1df3-4fd1-9d34-cd5a4be0deb8" + }, + "source": [ + "url = \"https://www.gutenberg.org/files/100/100-0.txt\"\n", + "\n", + "r = requests.get(url)\n", + "r.encoding = r.apparent_encoding\n", + "data = r.text\n", + "data = data.split('\\r\\n')\n", + "toc = [l.strip() for l in data[42:128:2]]\n", + "# Skip the Table of Contents\n", + "data = data[135:]\n", + "\n", + "# Fixing Titles\n", + "toc[1] = \"ANTONY AND CLEOPATRA\"\n", + "toc[9] = 'THE LIFE OF KING HENRY V'\n", + "toc[18] = 'MACBETH'\n", + "toc[24] = 'OTHELLO, THE MOOR OF VENICE'\n", + "toc[34] = 'TWELFTH NIGHT: OR, WHAT YOU WILL'\n", + "\n", + "locations = {id_:{'title':title, 'start': 0} for id_,title in enumerate(toc)}\n", + "\n", + "# Start \n", + "for e,i in enumerate(data):\n", + " for t,title in enumerate(toc):\n", + " if title in i:\n", + " locations[t].update({'start':e})\n", + " \n", + "\n", + "df_toc = pd.DataFrame.from_dict(locations, orient='index')\n", + "df_toc['end'] = df_toc['start'].shift(-1).apply(lambda x: x-1)\n", + "df_toc.loc[42, 'end'] = len(data)\n", + "print(df_toc['end'])\n", + "df_toc['end'] = df_toc['end'].astype('int')\n", + "\n", + "df_toc['text'] = df_toc.apply(lambda x: ' '.join(data[ x['start'] : int(x['end']) ]), axis=1)" + ], + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "text": [ + "0 7738.0\n", + "1 14379.0\n", + "2 17171.0\n", + "3 20372.0\n", + "4 30346.0\n", + "5 30364.0\n", + "6 37051.0\n", + "7 41767.0\n", + "8 45176.0\n", + "9 50112.0\n", + "10 53383.0\n", + "11 56871.0\n", + "12 60257.0\n", + "13 66710.0\n", + "14 66783.0\n", + "15 71427.0\n", + "16 77463.0\n", + "17 84427.0\n", + "18 84527.0\n", + "19 87527.0\n", + "20 91695.0\n", + "21 94654.0\n", + "22 98114.0\n", + "23 103826.0\n", + "24 110096.0\n", + "25 114239.0\n", + "26 117332.0\n", + "27 121740.0\n", + "28 126996.0\n", + "29 131870.0\n", + "30 135693.0\n", + "31 138409.0\n", + "32 141285.0\n", + "33 147448.0\n", + "34 151931.0\n", + "35 154343.0\n", + "36 159531.0\n", + "37 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SIXTH',\n", + " 'THE THIRD PART OF KING HENRY THE SIXTH',\n", + " 'KING HENRY THE EIGHTH',\n", + " 'KING JOHN',\n", + " 'THE TRAGEDY OF JULIUS CAESAR',\n", + " 'THE TRAGEDY OF KING LEAR',\n", + " 'LOVE’S LABOUR’S LOST',\n", + " 'MACBETH',\n", + " 'MEASURE FOR MEASURE',\n", + " 'THE MERCHANT OF VENICE',\n", + " 'THE MERRY WIVES OF WINDSOR',\n", + " 'A MIDSUMMER NIGHT’S DREAM',\n", + " 'MUCH ADO ABOUT NOTHING',\n", + " 'OTHELLO, THE MOOR OF VENICE',\n", + " 'PERICLES, PRINCE OF TYRE',\n", + " 'KING RICHARD THE SECOND',\n", + " 'KING RICHARD THE THIRD',\n", + " 'THE TRAGEDY OF ROMEO AND JULIET',\n", + " 'THE TAMING OF THE SHREW',\n", + " 'THE TEMPEST',\n", + " 'THE LIFE OF TIMON OF ATHENS',\n", + " 'THE TRAGEDY OF TITUS ANDRONICUS',\n", + " 'THE HISTORY OF TROILUS AND CRESSIDA',\n", + " 'TWELFTH NIGHT: OR, WHAT YOU WILL',\n", + " 'THE TWO GENTLEMEN OF VERONA',\n", + " 'THE TWO NOBLE KINSMEN',\n", + " 'THE WINTER’S TALE',\n", + " 'A LOVER’S COMPLAINT',\n", + " 'THE PASSIONATE PILGRIM',\n", + " 'THE PHOENIX AND THE TURTLE',\n", + " 'THE RAPE OF LUCRECE',\n", + " 'VENUS AND ADONIS']" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 4 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "jupyter": { + "source_hidden": false, + "outputs_hidden": false + }, + "nteract": { + "transient": { + "deleting": false + } + }, + "execution": { + "iopub.status.busy": "2020-06-15T18:26:12.630Z", + "iopub.execute_input": "2020-06-15T18:26:12.637Z", + "iopub.status.idle": "2020-06-15T18:26:12.643Z", + "shell.execute_reply": "2020-06-15T18:26:12.647Z" + }, + "id": "UTQ9fuyrztVl", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "d4c2af1d-3454-4700-8f26-ba36bbc97d84" + }, + "source": [ + "#Shakespeare Data Parsed by Play\n", + "df_toc" + ], + "execution_count": 5, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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titlestartendtext
0ALL’S WELL THAT ENDS WELL27757738ALL’S WELL THAT ENDS WELL Contents ACT I S...
1ANTONY AND CLEOPATRA773914379ANTONY AND CLEOPATRA Contents ACT I Scene I...
2AS YOU LIKE IT1438017171AS YOU LIKE IT DRAMATIS PERSONAE. DUKE, l...
3THE COMEDY OF ERRORS1717220372THE COMEDY OF ERRORS Contents ACT I Scene ...
4THE TRAGEDY OF CORIOLANUS2037330346THE TRAGEDY OF CORIOLANUS Dramatis Personae ...
5CYMBELINE3034730364CYMBELINE. Laud we the gods; And let our crook...
6THE TRAGEDY OF HAMLET, PRINCE OF DENMARK3036537051THE TRAGEDY OF HAMLET, PRINCE OF DENMARK Co...
7THE FIRST PART OF KING HENRY THE FOURTH3705241767THE FIRST PART OF KING HENRY THE FOURTH Dr...
8THE SECOND PART OF KING HENRY THE FOURTH4176845176THE SECOND PART OF KING HENRY THE FOURTH Dram...
9THE LIFE OF KING HENRY V4517750112THE LIFE OF KING HENRY V Contents ACT I Pr...
10THE FIRST PART OF HENRY THE SIXTH5011353383THE FIRST PART OF HENRY THE SIXTH Dramatis Pe...
11THE SECOND PART OF KING HENRY THE SIXTH5338456871THE SECOND PART OF KING HENRY THE SIXTH Drama...
12THE THIRD PART OF KING HENRY THE SIXTH5687260257THE THIRD PART OF KING HENRY THE SIXTH DRAMAT...
13KING HENRY THE EIGHTH6025866710KING HENRY THE EIGHTH ...
14KING JOHN6671166783KING JOHN. O cousin, thou art come to set mi...
15THE TRAGEDY OF JULIUS CAESAR6678471427THE TRAGEDY OF JULIUS CAESAR Contents ACT ...
16THE TRAGEDY OF KING LEAR7142877463THE TRAGEDY OF KING LEAR Contents ACT I Sc...
17LOVE’S LABOUR’S LOST7746484427LOVE’S LABOUR’S LOST Dramatis Personae. FE...
18MACBETH8442884527MACBETH. I will not yield, To kiss the ground ...
19MEASURE FOR MEASURE8452887527MEASURE FOR MEASURE DRAMATIS PERSONAE VINC...
20THE MERCHANT OF VENICE8752891695THE MERCHANT OF VENICE Contents ACT I Scen...
21THE MERRY WIVES OF WINDSOR9169694654THE MERRY WIVES OF WINDSOR Dramatis Personae ...
22A MIDSUMMER NIGHT’S DREAM9465598114A MIDSUMMER NIGHT’S DREAM Contents ACT I...
23MUCH ADO ABOUT NOTHING98115103826MUCH ADO ABOUT NOTHING Contents ACT I Sce...
24OTHELLO, THE MOOR OF VENICE103827110096OTHELLO, THE MOOR OF VENICE Contents ACT I...
25PERICLES, PRINCE OF TYRE110097114239PERICLES, PRINCE OF TYRE Contents ACT I Ch...
26KING RICHARD THE SECOND114240117332KING RICHARD THE SECOND JOHN OF GAUNT, Duk...
27KING RICHARD THE THIRD117333121740KING RICHARD THE THIRD Dramatis Personae E...
28THE TRAGEDY OF ROMEO AND JULIET121741126996THE TRAGEDY OF ROMEO AND JULIET Contents T...
29THE TAMING OF THE SHREW126997131870THE TAMING OF THE SHREW Contents INDUCTION...
30THE TEMPEST131871135693THE TEMPEST Contents ACT I Scene I. On a s...
31THE LIFE OF TIMON OF ATHENS135694138409THE LIFE OF TIMON OF ATHENS DRAMATIS PERSONAE...
32THE TRAGEDY OF TITUS ANDRONICUS138410141285THE TRAGEDY OF TITUS ANDRONICUS Dramatis Pers...
33THE HISTORY OF TROILUS AND CRESSIDA141286147448THE HISTORY OF TROILUS AND CRESSIDA Content...
34TWELFTH NIGHT: OR, WHAT YOU WILL147449151931TWELFTH NIGHT: OR, WHAT YOU WILL Contents ...
35THE TWO GENTLEMEN OF VERONA151932154343THE TWO GENTLEMEN OF VERONA DRAMATIS PERSONAE...
36THE TWO NOBLE KINSMEN154344159531THE TWO NOBLE KINSMEN: Presented at the Black...
37THE WINTER’S TALE159532164546THE WINTER’S TALE Contents ACT I Scene I....
38A LOVER’S COMPLAINT164547164929A LOVER’S COMPLAINT From off a hill whose c...
39THE PASSIONATE PILGRIM164930165169THE PASSIONATE PILGRIM I. Did not the heaven...
40THE PHOENIX AND THE TURTLE165170165263THE PHOENIX AND THE TURTLE Let the bird of ...
41THE RAPE OF LUCRECE165264167482THE RAPE OF LUCRECE TO ...
42VENUS AND ADONIS167483169308VENUS AND ADONIS Even as the sun with purple...
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THE FIRST PART OF HENRY THE SIXTH Dramatis Pe...\n", + "11 THE SECOND PART OF KING HENRY THE SIXTH ... THE SECOND PART OF KING HENRY THE SIXTH Drama...\n", + "12 THE THIRD PART OF KING HENRY THE SIXTH ... THE THIRD PART OF KING HENRY THE SIXTH DRAMAT...\n", + "13 KING HENRY THE EIGHTH ... KING HENRY THE EIGHTH ...\n", + "14 KING JOHN ... KING JOHN. O cousin, thou art come to set mi...\n", + "15 THE TRAGEDY OF JULIUS CAESAR ... THE TRAGEDY OF JULIUS CAESAR Contents ACT ...\n", + "16 THE TRAGEDY OF KING LEAR ... THE TRAGEDY OF KING LEAR Contents ACT I Sc...\n", + "17 LOVE’S LABOUR’S LOST ... LOVE’S LABOUR’S LOST Dramatis Personae. FE...\n", + "18 MACBETH ... MACBETH. I will not yield, To kiss the ground ...\n", + "19 MEASURE FOR MEASURE ... MEASURE FOR MEASURE DRAMATIS PERSONAE VINC...\n", + "20 THE MERCHANT OF VENICE ... THE MERCHANT OF VENICE Contents ACT I Scen...\n", + "21 THE MERRY WIVES OF WINDSOR ... THE MERRY WIVES OF WINDSOR Dramatis Personae ...\n", + "22 A MIDSUMMER NIGHT’S DREAM ... A MIDSUMMER NIGHT’S DREAM Contents ACT I...\n", + "23 MUCH ADO ABOUT NOTHING ... MUCH ADO ABOUT NOTHING Contents ACT I Sce...\n", + "24 OTHELLO, THE MOOR OF VENICE ... OTHELLO, THE MOOR OF VENICE Contents ACT I...\n", + "25 PERICLES, PRINCE OF TYRE ... PERICLES, PRINCE OF TYRE Contents ACT I Ch...\n", + "26 KING RICHARD THE SECOND ... KING RICHARD THE SECOND JOHN OF GAUNT, Duk...\n", + "27 KING RICHARD THE THIRD ... KING RICHARD THE THIRD Dramatis Personae E...\n", + "28 THE TRAGEDY OF ROMEO AND JULIET ... THE TRAGEDY OF ROMEO AND JULIET Contents T...\n", + "29 THE TAMING OF THE SHREW ... THE TAMING OF THE SHREW Contents INDUCTION...\n", + "30 THE TEMPEST ... THE TEMPEST Contents ACT I Scene I. On a s...\n", + "31 THE LIFE OF TIMON OF ATHENS ... THE LIFE OF TIMON OF ATHENS DRAMATIS PERSONAE...\n", + "32 THE TRAGEDY OF TITUS ANDRONICUS ... THE TRAGEDY OF TITUS ANDRONICUS Dramatis Pers...\n", + "33 THE HISTORY OF TROILUS AND CRESSIDA ... THE HISTORY OF TROILUS AND CRESSIDA Content...\n", + "34 TWELFTH NIGHT: OR, WHAT YOU WILL ... TWELFTH NIGHT: OR, WHAT YOU WILL Contents ...\n", + "35 THE TWO GENTLEMEN OF VERONA ... THE TWO GENTLEMEN OF VERONA DRAMATIS PERSONAE...\n", + "36 THE TWO NOBLE KINSMEN ... THE TWO NOBLE KINSMEN: Presented at the Black...\n", + "37 THE WINTER’S TALE ... THE WINTER’S TALE Contents ACT I Scene I....\n", + "38 A LOVER’S COMPLAINT ... A LOVER’S COMPLAINT From off a hill whose c...\n", + "39 THE PASSIONATE PILGRIM ... THE PASSIONATE PILGRIM I. Did not the heaven...\n", + "40 THE PHOENIX AND THE TURTLE ... THE PHOENIX AND THE TURTLE Let the bird of ...\n", + "41 THE RAPE OF LUCRECE ... THE RAPE OF LUCRECE TO ...\n", + "42 VENUS AND ADONIS ... VENUS AND ADONIS Even as the sun with purple...\n", + "\n", + "[43 rows x 4 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 5 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "vsQGfrjb0ITY", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "7cf647b8-8108-4d29-fbd6-5192534480f7" + }, + "source": [ + "len(df_toc['text'][0])" + ], + "execution_count": 6, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "134620" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 6 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Qjk3RGincaF0", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "30433189-6c59-42d7-a0a9-c3a4b991185d" + }, + "source": [ + "#Data for Play content(all) \n", + "data_play = df_toc['text'].values\n", + "len(data_play)" + ], + "execution_count": 7, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "43" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 7 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "2K1-HQCucuNX", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 124 + }, + "outputId": "fe3ea30b-722f-4c14-98df-fce667449830" + }, + "source": [ + "data_play[1][200:2000]" + ], + "execution_count": 8, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + }, + "text/plain": [ + "' Scene IV. Rome. An Apartment in Caesar’s House Scene V. Alexandria. A Room in the Palace. ACT II Scene I. Messina. A Room in Pompey’s house. Scene II. Rome. A Room in the House of Lepidus. Scene III. Rome. A Room in Caesar’s House. Scene IV. Rome. A street. Scene V. Alexandria. A Room in the Palace. Scene VI. Near Misenum. Scene VII. On board Pompey’s Galley, lying near Misenum. ACT III Scene I. A plain in Syria. Scene II. Rome. An Ante-chamber in Caesar’s house. Scene III. Alexandria. A Room in the Palace. Scene IV. Athens. A Room in Antony’s House. Scene V. Athens. Another Room in Antony’s House. Scene VI. Rome. A Room in Caesar’s House. Scene VII. Antony’s Camp near the Promontory of Actium. Scene VIII. A plain near Actium. Scene IX. Another part of the Plain. Scene X. Another part of the Plain. Scene XI. Alexandria. A Room in the Palace. Scene XII. Caesar’s camp in Egypt. Scene XIII. Alexandria. A Room in the Palace. ACT IV Scene I. Caesar’s Camp at Alexandria. Scene II. Alexandria. A Room in the Palace. Scene III. Alexandria. Before the Palace. Scene IV. Alexandria. A Room in the Palace. Scene V. Antony’s camp near Alexandria. Scene VI. Alexandria. Caesar’s camp. Scene VII. Field of battle between the Camps. Scene VIII. Under the Walls of Alexandria. Scene IX. Caesar’s camp. Scene X. Ground between the two Camps. Scene XI. Another part of the Ground. Scene XII. Another part of the Ground. Scene XIII. Alexandria. A Room in the Palace. Scene XIV. Alexandria. Another Room. Scene XV. Alexandria. A monument. ACT V Scene I. Caesar’s Camp before Alexandria. Scene II. Alexandria. A Room in the Monument. Dramatis Personæ MARK ANTONY, Triumvir OCTAVIUS CAESAR, Triumvir LEPIDUS, Triumvir SEXTUS POMPEIUS, DOMITIUS ENOBARBUS, friend to Antony VENTIDIUS, friend to Antony'" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 8 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "9tt8161AdMdl", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 124 + }, + "outputId": "7d10df81-c803-4017-96d0-3331b48805c0" + }, + "source": [ + "data_play[-1]" + ], + "execution_count": 9, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + }, + "text/plain": [ + "' VENUS AND ADONIS Even as the sun with purple-colour’d face Had ta’en his last leave of the weeping morn, Rose-cheek’d Adonis tried him to the chase; Hunting he lov’d, but love he laugh’d to scorn; 4 Sick-thoughted Venus makes amain unto him, And like a bold-fac’d suitor ’gins to woo him. “Thrice fairer than myself,” thus she began, “The field’s chief flower, sweet above compare, 8 Stain to all nymphs, more lovely than a man, More white and red than doves or roses are: Nature that made thee, with herself at strife, Saith that the world hath ending with thy life. 12 “Vouchsafe, thou wonder, to alight thy steed, And rein his proud head to the saddle-bow; If thou wilt deign this favour, for thy meed A thousand honey secrets shalt thou know: 16 Here come and sit, where never serpent hisses, And being set, I’ll smother thee with kisses. “And yet not cloy thy lips with loath’d satiety, But rather famish them amid their plenty, 20 Making them red, and pale, with fresh variety: Ten kisses short as one, one long as twenty: A summer’s day will seem an hour but short, Being wasted in such time-beguiling sport.” 24 With this she seizeth on his sweating palm, The precedent of pith and livelihood, And trembling in her passion, calls it balm, Earth’s sovereign salve to do a goddess good: 28 Being so enrag’d, desire doth lend her force Courageously to pluck him from his horse. Over one arm the lusty courser’s rein, Under her other was the tender boy, 32 Who blush’d and pouted in a dull disdain, With leaden appetite, unapt to toy; She red and hot as coals of glowing fire, He red for shame, but frosty in desire. 36 The studded bridle on a ragged bough Nimbly she fastens;—O! how quick is love!— The steed is stalled up, and even now To tie the rider she begins to prove: 40 Backward she push’d him, as she would be thrust, And govern’d him in strength, though not in lust. So soon was she along, as he was down, Each leaning on their elbows and their hips: 44 Now doth she stroke his cheek, now doth he frown, And ’gins to chide, but soon she stops his lips, And kissing speaks, with lustful language broken, “If thou wilt chide, thy lips shall never open.” 48 He burns with bashful shame, she with her tears Doth quench the maiden burning of his cheeks; Then with her windy sighs and golden hairs To fan and blow them dry again she seeks. 52 He saith she is immodest, blames her miss; What follows more, she murders with a kiss. Even as an empty eagle, sharp by fast, Tires with her beak on feathers, flesh and bone, 56 Shaking her wings, devouring all in haste, Till either gorge be stuff’d or prey be gone: Even so she kiss’d his brow, his cheek, his chin, And where she ends she doth anew begin. 60 Forc’d to content, but never to obey, Panting he lies, and breatheth in her face. She feedeth on the steam, as on a prey, And calls it heavenly moisture, air of grace, 64 Wishing her cheeks were gardens full of flowers So they were dew’d with such distilling showers. Look how a bird lies tangled in a net, So fasten’d in her arms Adonis lies; 68 Pure shame and aw’d resistance made him fret, Which bred more beauty in his angry eyes: Rain added to a river that is rank Perforce will force it overflow the bank. 72 Still she entreats, and prettily entreats, For to a pretty ear she tunes her tale. Still is he sullen, still he lours and frets, ’Twixt crimson shame and anger ashy pale; 76 Being red she loves him best, and being white, Her best is better’d with a more delight. Look how he can, she cannot choose but love; And by her fair immortal hand she swears, 80 From his soft bosom never to remove, Till he take truce with her contending tears, Which long have rain’d, making her cheeks all wet; And one sweet kiss shall pay this countless debt. Upon this promise did he raise his chin, 85 Like a dive-dapper peering through a wave, Who, being look’d on, ducks as quickly in; So offers he to give what she did crave, 88 But when her lips were ready for his pay, He winks, and turns his lips another way. Never did passenger in summer’s heat More thirst for drink than she for this good turn. 92 Her help she sees, but help she cannot get; She bathes in water, yet her fire must burn: “O! pity,” ’gan she cry, “flint-hearted boy, ’Tis but a kiss I beg; why art thou coy? 96 “I have been woo’d as I entreat thee now, Even by the stern and direful god of war, Whose sinewy neck in battle ne’er did bow, Who conquers where he comes in every jar; 100 Yet hath he been my captive and my slave, And begg’d for that which thou unask’d shalt have. “Over my altars hath he hung his lance, His batter’d shield, his uncontrolled crest, 104 And for my sake hath learn’d to sport and dance, To toy, to wanton, dally, smile, and jest; Scorning his churlish drum and ensign red Making my arms his field, his tent my bed. 108 “Thus he that overrul’d I oversway’d, Leading him prisoner in a red rose chain: Strong-temper’d steel his stronger strength obey’d, Yet was he servile to my coy disdain. 112 Oh be not proud, nor brag not of thy might, For mast’ring her that foil’d the god of fight. “Touch but my lips with those fair lips of thine, Though mine be not so fair, yet are they red, 116 The kiss shall be thine own as well as mine: What see’st thou in the ground? hold up thy head, Look in mine eyeballs, there thy beauty lies; Then why not lips on lips, since eyes in eyes? 120 “Art thou asham’d to kiss? then wink again, And I will wink; so shall the day seem night. Love keeps his revels where there are but twain; Be bold to play, our sport is not in sight, 124 These blue-vein’d violets whereon we lean Never can blab, nor know not what we mean. “The tender spring upon thy tempting lip 127 Shows thee unripe; yet mayst thou well be tasted, Make use of time, let not advantage slip; Beauty within itself should not be wasted, Fair flowers that are not gather’d in their prime Rot, and consume themselves in little time. 132 “Were I hard-favour’d, foul, or wrinkled old, Ill-nurtur’d, crooked, churlish, harsh in voice, O’erworn, despised, rheumatic, and cold, Thick-sighted, barren, lean, and lacking juice, 136 Then mightst thou pause, for then I were not for thee; But having no defects, why dost abhor me? “Thou canst not see one wrinkle in my brow, 139 Mine eyes are grey and bright, and quick in turning; My beauty as the spring doth yearly grow, My flesh is soft and plump, my marrow burning, My smooth moist hand, were it with thy hand felt, Would in thy palm dissolve, or seem to melt. 144 “Bid me discourse, I will enchant thine ear, Or like a fairy, trip upon the green, Or like a nymph, with long dishevell’d hair, Dance on the sands, and yet no footing seen. 148 Love is a spirit all compact of fire, Not gross to sink, but light, and will aspire. “Witness this primrose bank whereon I lie: 151 These forceless flowers like sturdy trees support me; Two strengthless doves will draw me through the sky, From morn till night, even where I list to sport me. Is love so light, sweet boy, and may it be That thou shouldst think it heavy unto thee? 156 “Is thine own heart to thine own face affected? Can thy right hand seize love upon thy left? Then woo thyself, be of thyself rejected, Steal thine own freedom, and complain on theft. 160 Narcissus so himself himself forsook, And died to kiss his shadow in the brook. “Torches are made to light, jewels to wear, Dainties to taste, fresh beauty for the use, 164 Herbs for their smell, and sappy plants to bear; Things growing to themselves are growth’s abuse, Seeds spring from seeds, and beauty breedeth beauty; Thou wast begot; to get it is thy duty. 168 “Upon the earth’s increase why shouldst thou feed, Unless the earth with thy increase be fed? By law of nature thou art bound to breed, That thine may live when thou thyself art dead; 172 And so in spite of death thou dost survive, In that thy likeness still is left alive.” By this the love-sick queen began to sweat, For where they lay the shadow had forsook them, 176 And Titan, tired in the midday heat, With burning eye did hotly overlook them, Wishing Adonis had his team to guide, So he were like him and by Venus’ side. 180 And now Adonis with a lazy spright, And with a heavy, dark, disliking eye, His louring brows o’erwhelming his fair sight, Like misty vapours when they blot the sky, 184 Souring his cheeks, cries, “Fie, no more of love: The sun doth burn my face; I must remove.” “Ay me,” quoth Venus, “young, and so unkind! What bare excuses mak’st thou to be gone! 188 I’ll sigh celestial breath, whose gentle wind Shall cool the heat of this descending sun: I’ll make a shadow for thee of my hairs; If they burn too, I’ll quench them with my tears. 192 “The sun that shines from heaven shines but warm, And lo I lie between that sun and thee: The heat I have from thence doth little harm, Thine eye darts forth the fire that burneth me; 196 And were I not immortal, life were done, Between this heavenly and earthly sun. “Art thou obdurate, flinty, hard as steel? Nay more than flint, for stone at rain relenteth: 200 Art thou a woman’s son and canst not feel What ’tis to love, how want of love tormenteth? O had thy mother borne so hard a mind, She had not brought forth thee, but died unkind. 204 “What am I that thou shouldst contemn me this? Or what great danger dwells upon my suit? What were thy lips the worse for one poor kiss? Speak, fair; but speak fair words, or else be mute: 208 Give me one kiss, I’ll give it thee again, And one for int’rest, if thou wilt have twain. “Fie, lifeless picture, cold and senseless stone, Well-painted idol, image dull and dead, 212 Statue contenting but the eye alone, Thing like a man, but of no woman bred: Thou art no man, though of a man’s complexion, For men will kiss even by their own direction.” 216 This said, impatience chokes her pleading tongue, And swelling passion doth provoke a pause; Red cheeks and fiery eyes blaze forth her wrong; Being judge in love, she cannot right her cause. 220 And now she weeps, and now she fain would speak, And now her sobs do her intendments break. Sometimes she shakes her head, and then his hand, Now gazeth she on him, now on the ground; 224 Sometimes her arms infold him like a band: She would, he will not in her arms be bound; And when from thence he struggles to be gone, She locks her lily fingers one in one. 228 “Fondling,” she saith, “since I have hemm’d thee here Within the circuit of this ivory pale, I’ll be a park, and thou shalt be my deer; Feed where thou wilt, on mountain or in dale: 232 Graze on my lips, and if those hills be dry, Stray lower, where the pleasant fountains lie. “Within this limit is relief enough, Sweet bottom grass and high delightful plain, 236 Round rising hillocks, brakes obscure and rough, To shelter thee from tempest and from rain: Then be my deer, since I am such a park, 239 No dog shall rouse thee, though a thousand bark.” At this Adonis smiles as in disdain, That in each cheek appears a pretty dimple; Love made those hollows, if himself were slain, He might be buried in a tomb so simple; 244 Foreknowing well, if there he came to lie, Why there love liv’d, and there he could not die. These lovely caves, these round enchanting pits, Open’d their mouths to swallow Venus’ liking. 248 Being mad before, how doth she now for wits? Struck dead at first, what needs a second striking? Poor queen of love, in thine own law forlorn, To love a cheek that smiles at thee in scorn! 252 Now which way shall she turn? what shall she say? Her words are done, her woes the more increasing; The time is spent, her object will away, And from her twining arms doth urge releasing: 256 “Pity,” she cries; “some favour, some remorse!” Away he springs, and hasteth to his horse. But lo from forth a copse that neighbours by, A breeding jennet, lusty, young, and proud, 260 Adonis’ tramping courser doth espy, And forth she rushes, snorts and neighs aloud: The strong-neck’d steed, being tied unto a tree, Breaketh his rein, and to her straight goes he. 264 Imperiously he leaps, he neighs, he bounds, And now his woven girths he breaks asunder; The bearing earth with his hard hoof he wounds, Whose hollow womb resounds like heaven’s thunder; The iron bit he crusheth ’tween his teeth, 269 Controlling what he was controlled with. His ears up-prick’d; his braided hanging mane Upon his compass’d crest now stand on end; 272 His nostrils drink the air, and forth again, As from a furnace, vapours doth he send: His eye, which scornfully glisters like fire, Shows his hot courage and his high desire. 276 Sometime he trots, as if he told the steps, With gentle majesty and modest pride; Anon he rears upright, curvets and leaps, As who should say, “Lo thus my strength is tried; And this I do to captivate the eye 281 Of the fair breeder that is standing by.” What recketh he his rider’s angry stir, His flattering “Holla”, or his “Stand, I say”? 284 What cares he now for curb or pricking spur? For rich caparisons or trappings gay? He sees his love, and nothing else he sees, Nor nothing else with his proud sight agrees. 288 Look when a painter would surpass the life, In limning out a well-proportion’d steed, His art with nature’s workmanship at strife, As if the dead the living should exceed: 292 So did this horse excel a common one, In shape, in courage, colour, pace and bone. Round-hoof’d, short-jointed, fetlocks shag and long, Broad breast, full eye, small head, and nostril wide, High crest, short ears, straight legs and passing strong, Thin mane, thick tail, broad buttock, tender hide: Look, what a horse should have he did not lack, Save a proud rider on so proud a back. 300 Sometimes he scuds far off, and there he stares; Anon he starts at stirring of a feather: To bid the wind a base he now prepares, And where he run or fly they know not whether; 304 For through his mane and tail the high wind sings, Fanning the hairs, who wave like feather’d wings. He looks upon his love, and neighs unto her; She answers him as if she knew his mind, 308 Being proud, as females are, to see him woo her, She puts on outward strangeness, seems unkind, Spurns at his love and scorns the heat he feels, Beating his kind embracements with her heels. 312 Then like a melancholy malcontent, He vails his tail that like a falling plume, Cool shadow to his melting buttock lent: He stamps, and bites the poor flies in his fume. 316 His love, perceiving how he was enrag’d, Grew kinder, and his fury was assuag’d. His testy master goeth about to take him, When lo the unback’d breeder, full of fear, 320 Jealous of catching, swiftly doth forsake him, With her the horse, and left Adonis there: As they were mad, unto the wood they hie them, Outstripping crows that strive to overfly them. 324 All swoln with chafing, down Adonis sits, Banning his boisterous and unruly beast; And now the happy season once more fits That love-sick love by pleading may be blest; 328 For lovers say, the heart hath treble wrong, When it is barr’d the aidance of the tongue. An oven that is stopp’d, or river stay’d, Burneth more hotly, swelleth with more rage: 332 So of concealed sorrow may be said, Free vent of words love’s fire doth assuage; But when the heart’s attorney once is mute, The client breaks, as desperate in his suit. 336 He sees her coming, and begins to glow, Even as a dying coal revives with wind, And with his bonnet hides his angry brow, Looks on the dull earth with disturbed mind, 340 Taking no notice that she is so nigh, For all askance he holds her in his eye. O what a sight it was, wistly to view How she came stealing to the wayward boy, 344 To note the fighting conflict of her hue, How white and red each other did destroy: But now her cheek was pale, and by and by It flash’d forth fire, as lightning from the sky. 348 Now was she just before him as he sat, And like a lowly lover down she kneels; With one fair hand she heaveth up his hat, Her other tender hand his fair cheek feels: 352 His tend’rer cheek receives her soft hand’s print, As apt as new-fall’n snow takes any dint. Oh what a war of looks was then between them, Her eyes petitioners to his eyes suing, 356 His eyes saw her eyes, as they had not seen them, Her eyes woo’d still, his eyes disdain’d the wooing: And all this dumb play had his acts made plain With tears, which, chorus-like, her eyes did rain. Full gently now she takes him by the hand, 361 A lily prison’d in a gaol of snow, Or ivory in an alabaster band, So white a friend engirts so white a foe: 364 This beauteous combat, wilful and unwilling, Show’d like two silver doves that sit a-billing. Once more the engine of her thoughts began: “O fairest mover on this mortal round, 368 Would thou wert as I am, and I a man, My heart all whole as thine, thy heart my wound, For one sweet look thy help I would assure thee, Though nothing but my body’s bane would cure thee.” “Give me my hand,” saith he, “why dost thou feel it?” “Give me my heart,” saith she, “and thou shalt have it. O give it me lest thy hard heart do steel it, And being steel’d, soft sighs can never grave it. 376 Then love’s deep groans I never shall regard, Because Adonis’ heart hath made mine hard.” “For shame,” he cries, “let go, and let me go, My day’s delight is past, my horse is gone, 380 And ’tis your fault I am bereft him so, I pray you hence, and leave me here alone, For all my mind, my thought, my busy care, Is how to get my palfrey from the mare.” 384 Thus she replies: “Thy palfrey as he should, Welcomes the warm approach of sweet desire, Affection is a coal that must be cool’d; Else, suffer’d, it will set the heart on fire, 388 The sea hath bounds, but deep desire hath none; Therefore no marvel though thy horse be gone. “How like a jade he stood tied to the tree, Servilely master’d with a leathern rein! 392 But when he saw his love, his youth’s fair fee, He held such petty bondage in disdain; Throwing the base thong from his bending crest, Enfranchising his mouth, his back, his breast. 396 “Who sees his true-love in her naked bed, Teaching the sheets a whiter hue than white, But when his glutton eye so full hath fed, His other agents aim at like delight? 400 Who is so faint that dare not be so bold To touch the fire, the weather being cold? “Let me excuse thy courser, gentle boy, And learn of him, I heartily beseech thee, 404 To take advantage on presented joy, Though I were dumb, yet his proceedings teach thee. O learn to love, the lesson is but plain, And once made perfect, never lost again.” 408 “I know not love,” quoth he, “nor will not know it, Unless it be a boar, and then I chase it; ’Tis much to borrow, and I will not owe it; My love to love is love but to disgrace it; 412 For I have heard, it is a life in death, That laughs and weeps, and all but with a breath. “Who wears a garment shapeless and unfinish’d? Who plucks the bud before one leaf put forth? 416 If springing things be any jot diminish’d, They wither in their prime, prove nothing worth; The colt that’s back’d and burden’d being young, Loseth his pride, and never waxeth strong. 420 “You hurt my hand with wringing. Let us part, And leave this idle theme, this bootless chat: Remove your siege from my unyielding heart, To love’s alarms it will not ope the gate: 424 Dismiss your vows, your feigned tears, your flatt’ry; For where a heart is hard they make no batt’ry.” “What! canst thou talk?” quoth she, “hast thou a tongue? O would thou hadst not, or I had no hearing; 428 Thy mermaid’s voice hath done me double wrong; I had my load before, now press’d with bearing: Melodious discord, heavenly tune, harsh-sounding, Ear’s deep sweet music, and heart’s deep sore wounding. “Had I no eyes but ears, my ears would love 433 That inward beauty and invisible; Or were I deaf, thy outward parts would move Each part in me that were but sensible: 436 Though neither eyes nor ears, to hear nor see, Yet should I be in love by touching thee. “Say that the sense of feeling were bereft me, And that I could not see, nor hear, nor touch, 440 And nothing but the very smell were left me, Yet would my love to thee be still as much; For from the stillitory of thy face excelling Comes breath perfum’d, that breedeth love by smelling. “But oh what banquet wert thou to the taste, 445 Being nurse and feeder of the other four; Would they not wish the feast might ever last, And bid suspicion double-lock the door, Lest jealousy, that sour unwelcome guest, Should by his stealing in disturb the feast?” 448 Once more the ruby-colour’d portal open’d, Which to his speech did honey passage yield, 452 Like a red morn that ever yet betoken’d Wrack to the seaman, tempest to the field, Sorrow to shepherds, woe unto the birds, Gusts and foul flaws to herdmen and to herds. 456 This ill presage advisedly she marketh: Even as the wind is hush’d before it raineth, Or as the wolf doth grin before he barketh, Or as the berry breaks before it staineth, 460 Or like the deadly bullet of a gun, His meaning struck her ere his words begun. And at his look she flatly falleth down For looks kill love, and love by looks reviveth; 464 A smile recures the wounding of a frown; But blessed bankrout, that by love so thriveth! The silly boy, believing she is dead, Claps her pale cheek, till clapping makes it red. 468 And all amaz’d brake off his late intent, For sharply he did think to reprehend her, Which cunning love did wittily prevent: Fair fall the wit that can so well defend her! 472 For on the grass she lies as she were slain, Till his breath breatheth life in her again. He wrings her nose, he strikes her on the cheeks, He bends her fingers, holds her pulses hard, 476 He chafes her lips; a thousand ways he seeks To mend the hurt that his unkindness marr’d: He kisses her; and she, by her good will, Will never rise, so he will kiss her still. 480 The night of sorrow now is turn’d to day: Her two blue windows faintly she up-heaveth, Like the fair sun when in his fresh array He cheers the morn, and all the world relieveth: 484 And as the bright sun glorifies the sky, So is her face illumin’d with her eye. Whose beams upon his hairless face are fix’d, As if from thence they borrow’d all their shine. 488 Were never four such lamps together mix’d, Had not his clouded with his brow’s repine; But hers, which through the crystal tears gave light Shone like the moon in water seen by night. 492 “O where am I?” quoth she, “in earth or heaven? Or in the ocean drench’d, or in the fire? What hour is this? or morn or weary even? Do I delight to die, or life desire? 496 But now I liv’d, and life was death’s annoy; But now I died, and death was lively joy. “O thou didst kill me; kill me once again: Thy eyes’ shrewd tutor, that hard heart of thine, 500 Hath taught them scornful tricks, and such disdain, That they have murder’d this poor heart of mine; And these mine eyes, true leaders to their queen, But for thy piteous lips no more had seen. 504 “Long may they kiss each other for this cure! Oh never let their crimson liveries wear, And as they last, their verdure still endure, To drive infection from the dangerous year: 508 That the star-gazers, having writ on death, May say, the plague is banish’d by thy breath. “Pure lips, sweet seals in my soft lips imprinted, What bargains may I make, still to be sealing? 512 To sell myself I can be well contented, So thou wilt buy, and pay, and use good dealing; Which purchase if thou make, for fear of slips, Set thy seal manual on my wax-red lips. 516 “A thousand kisses buys my heart from me; And pay them at thy leisure, one by one, What is ten hundred touches unto thee? Are they not quickly told and quickly gone? 520 Say, for non-payment that the debt should double, Is twenty hundred kisses such a trouble?” “Fair queen,” quoth he, “if any love you owe me, Measure my strangeness with my unripe years: 524 Before I know myself, seek not to know me; No fisher but the ungrown fry forbears: The mellow plum doth fall, the green sticks fast, Or being early pluck’d, is sour to taste. 528 “Look the world’s comforter, with weary gait His day’s hot task hath ended in the west; The owl, night’s herald, shrieks, ’tis very late; The sheep are gone to fold, birds to their nest, 532 And coal-black clouds that shadow heaven’s light Do summon us to part, and bid good night. “Now let me say good night, and so say you; If you will say so, you shall have a kiss.” 536 “Good night,” quoth she; and ere he says adieu, The honey fee of parting tender’d is: Her arms do lend his neck a sweet embrace; Incorporate then they seem, face grows to face. 540 Till breathless he disjoin’d, and backward drew The heavenly moisture, that sweet coral mouth, Whose precious taste her thirsty lips well knew, Whereon they surfeit, yet complain on drouth, 544 He with her plenty press’d, she faint with dearth, Their lips together glued, fall to the earth. Now quick desire hath caught the yielding prey, And glutton-like she feeds, yet never filleth; 548 Her lips are conquerors, his lips obey, Paying what ransom the insulter willeth; Whose vulture thought doth pitch the price so high, That she will draw his lips’ rich treasure dry. 552 And having felt the sweetness of the spoil, With blindfold fury she begins to forage; Her face doth reek and smoke, her blood doth boil, And careless lust stirs up a desperate courage, 556 Planting oblivion, beating reason back, Forgetting shame’s pure blush and honour’s wrack. Hot, faint, and weary, with her hard embracing, Like a wild bird being tam’d with too much handling, Or as the fleet-foot roe that’s tir’d with chasing, 561 Or like the froward infant still’d with dandling: He now obeys, and now no more resisteth, While she takes all she can, not all she listeth. 564 What wax so frozen but dissolves with temp’ring, And yields at last to every light impression? Things out of hope are compass’d oft with vent’ring, Chiefly in love, whose leave exceeds commission: 568 Affection faints not like a pale-fac’d coward, But then woos best when most his choice is froward. When he did frown, O had she then gave over, Such nectar from his lips she had not suck’d. 572 Foul words and frowns must not repel a lover; What though the rose have prickles, yet ’tis pluck’d. Were beauty under twenty locks kept fast, Yet love breaks through, and picks them all at last. For pity now she can no more detain him; 577 The poor fool prays her that he may depart: She is resolv’d no longer to restrain him, Bids him farewell, and look well to her heart, 580 The which by Cupid’s bow she doth protest, He carries thence encaged in his breast. “Sweet boy,” she says, “this night I’ll waste in sorrow, For my sick heart commands mine eyes to watch. 584 Tell me, love’s master, shall we meet tomorrow Say, shall we? shall we? wilt thou make the match?” He tells her no, tomorrow he intends To hunt the boar with certain of his friends. 588 “The boar!” quoth she; whereat a sudden pale, Like lawn being spread upon the blushing rose, Usurps her cheek, she trembles at his tale, And on his neck her yoking arms she throws. 592 She sinketh down, still hanging by his neck, He on her belly falls, she on her back. Now is she in the very lists of love, Her champion mounted for the hot encounter: 596 All is imaginary she doth prove, He will not manage her, although he mount her; That worse than Tantalus’ is her annoy, To clip Elysium and to lack her joy. 600 Even as poor birds, deceiv’d with painted grapes, Do surfeit by the eye and pine the maw: Even so she languisheth in her mishaps, As those poor birds that helpless berries saw. 604 The warm effects which she in him finds missing, She seeks to kindle with continual kissing. But all in vain, good queen, it will not be, She hath assay’d as much as may be prov’d; 608 Her pleading hath deserv’d a greater fee; She’s love, she loves, and yet she is not lov’d. “Fie, fie,” he says, “you crush me; let me go; You have no reason to withhold me so.” 612 “Thou hadst been gone,” quoth she, “sweet boy, ere this, But that thou told’st me thou wouldst hunt the boar. Oh be advis’d; thou know’st not what it is, With javelin’s point a churlish swine to gore, 616 Whose tushes never sheath’d he whetteth still, Like to a mortal butcher, bent to kill. “On his bow-back he hath a battle set Of bristly pikes, that ever threat his foes; 620 His eyes like glow-worms shine when he doth fret; His snout digs sepulchres where’er he goes; Being mov’d, he strikes whate’er is in his way, And whom he strikes his crooked tushes slay. 624 “His brawny sides, with hairy bristles armed, Are better proof than thy spear’s point can enter; His short thick neck cannot be easily harmed; Being ireful, on the lion he will venture: 628 The thorny brambles and embracing bushes, As fearful of him, part, through whom he rushes. “Alas! he naught esteems that face of thine, To which love’s eyes pay tributary gazes; 632 Nor thy soft hands, sweet lips, and crystal eyne, Whose full perfection all the world amazes; But having thee at vantage, wondrous dread! Would root these beauties as he roots the mead. “Oh let him keep his loathsome cabin still, 637 Beauty hath naught to do with such foul fiends: Come not within his danger by thy will; They that thrive well, take counsel of their friends. When thou didst name the boar, not to dissemble, I fear’d thy fortune, and my joints did tremble. “Didst thou not mark my face, was it not white? Saw’st thou not signs of fear lurk in mine eye? 644 Grew I not faint, and fell I not downright? Within my bosom, whereon thou dost lie, My boding heart pants, beats, and takes no rest, But like an earthquake, shakes thee on my breast. “For where love reigns, disturbing jealousy 649 Doth call himself affection’s sentinel; Gives false alarms, suggesteth mutiny, And in a peaceful hour doth cry “Kill, kill!” 652 Distemp’ring gentle love in his desire, As air and water do abate the fire. “This sour informer, this bate-breeding spy, This canker that eats up love’s tender spring, 656 This carry-tale, dissentious jealousy, That sometime true news, sometime false doth bring, Knocks at my heart, and whispers in mine ear, That if I love thee, I thy death should fear. 660 “And more than so, presenteth to mine eye The picture of an angry chafing boar, Under whose sharp fangs on his back doth lie An image like thyself, all stain’d with gore; 664 Whose blood upon the fresh flowers being shed, Doth make them droop with grief and hang the head. “What should I do, seeing thee so indeed, That tremble at th’imagination? 668 The thought of it doth make my faint heart bleed, And fear doth teach it divination: I prophesy thy death, my living sorrow, If thou encounter with the boar tomorrow. 672 “But if thou needs wilt hunt, be rul’d by me; Uncouple at the timorous flying hare, Or at the fox which lives by subtilty, Or at the roe which no encounter dare: 676 Pursue these fearful creatures o’er the downs, And on thy well-breath’d horse keep with thy hounds. “And when thou hast on foot the purblind hare, Mark the poor wretch, to overshoot his troubles 680 How he outruns the wind, and with what care He cranks and crosses with a thousand doubles: The many musits through the which he goes Are like a labyrinth to amaze his foes. 684 “Sometime he runs among a flock of sheep, To make the cunning hounds mistake their smell, And sometime where earth-delving conies keep, To stop the loud pursuers in their yell, 688 And sometime sorteth with a herd of deer; Danger deviseth shifts, wit waits on fear. “For there his smell with others being mingled, 691 The hot scent-snuffing hounds are driven to doubt, Ceasing their clamorous cry, till they have singled With much ado the cold fault cleanly out; Then do they spend their mouths: echo replies, As if another chase were in the skies. 696 “By this, poor Wat, far off upon a hill, Stands on his hinder legs with list’ning ear, To hearken if his foes pursue him still. Anon their loud alarums he doth hear; 700 And now his grief may be compared well To one sore sick that hears the passing bell. “Then shalt thou see the dew-bedabbled wretch Turn, and return, indenting with the way, 704 Each envious briar his weary legs do scratch, Each shadow makes him stop, each murmur stay: For misery is trodden on by many, And being low never reliev’d by any. 708 “Lie quietly, and hear a little more; Nay, do not struggle, for thou shalt not rise: To make thee hate the hunting of the boar, Unlike myself thou hear’st me moralize, 712 Applying this to that, and so to so, For love can comment upon every woe. “Where did I leave?” “No matter where,” quoth he “Leave me, and then the story aptly ends: 716 The night is spent.” “Why, what of that?” quoth she. “I am,” quoth he, “expected of my friends; And now ’tis dark, and going I shall fall.” “In night,” quoth she, “desire sees best of all.” 720 But if thou fall, oh then imagine this, The earth, in love with thee, thy footing trips, And all is but to rob thee of a kiss. 723 Rich preys make true men thieves; so do thy lips Make modest Dian cloudy and forlorn, Lest she should steal a kiss and die forsworn. “Now of this dark night I perceive the reason: Cynthia for shame obscures her silver shine 728 Till forging nature be condemn’d of treason, For stealing moulds from heaven, that were divine; Wherein she fram’d thee, in high heaven’s despite, To shame the sun by day and her by night. 732 “And therefore hath she brib’d the destinies, To cross the curious workmanship of nature, To mingle beauty with infirmities, And pure perfection with impure defeature, 736 Making it subject to the tyranny Of mad mischances and much misery. “As burning fevers, agues pale and faint, Life-poisoning pestilence and frenzies wood, 740 The marrow-eating sickness, whose attaint Disorder breeds by heating of the blood; Surfeits, imposthumes, grief, and damn’d despair, Swear nature’s death, for framing thee so fair. 744 “And not the least of all these maladies But in one minute’s fight brings beauty under: Both favour, savour, hue and qualities, Whereat th’impartial gazer late did wonder, 748 Are on the sudden wasted, thaw’d and done, As mountain snow melts with the midday sun. “Therefore despite of fruitless chastity, Love-lacking vestals and self-loving nuns, 752 That on the earth would breed a scarcity And barren dearth of daughters and of sons, Be prodigal: the lamp that burns by night Dries up his oil to lend the world his light. 756 “What is thy body but a swallowing grave, Seeming to bury that posterity, Which by the rights of time thou needs must have, If thou destroy them not in dark obscurity? 760 If so, the world will hold thee in disdain, Sith in thy pride so fair a hope is slain. “So in thyself thyself art made away; A mischief worse than civil home-bred strife, 764 Or theirs whose desperate hands themselves do slay, Or butcher sire that reeves his son of life. Foul cank’ring rust the hidden treasure frets, But gold that’s put to use more gold begets.” 768 “Nay then,” quoth Adon, “you will fall again Into your idle over-handled theme; The kiss I gave you is bestow’d in vain, And all in vain you strive against the stream; 772 For by this black-fac’d night, desire’s foul nurse, Your treatise makes me like you worse and worse. “If love have lent you twenty thousand tongues, And every tongue more moving than your own, 776 Bewitching like the wanton mermaid’s songs, Yet from mine ear the tempting tune is blown; For know, my heart stands armed in mine ear, And will not let a false sound enter there. 780 “Lest the deceiving harmony should run Into the quiet closure of my breast, And then my little heart were quite undone, In his bedchamber to be barr’d of rest. 784 No, lady, no; my heart longs not to groan, But soundly sleeps, while now it sleeps alone. “What have you urg’d that I cannot reprove? The path is smooth that leadeth on to danger; 790 I hate not love, but your device in love That lends embracements unto every stranger. You do it for increase: O strange excuse! When reason is the bawd to lust’s abuse. 792 “Call it not, love, for love to heaven is fled, Since sweating lust on earth usurp’d his name; Under whose simple semblance he hath fed Upon fresh beauty, blotting it with blame; 796 Which the hot tyrant stains and soon bereaves, As caterpillars do the tender leaves. “Love comforteth like sunshine after rain, But lust’s effect is tempest after sun; 800 Love’s gentle spring doth always fresh remain, Lust’s winter comes ere summer half be done. Love surfeits not, lust like a glutton dies; Love is all truth, lust full of forged lies. 804 “More I could tell, but more I dare not say; The text is old, the orator too green. Therefore, in sadness, now I will away; My face is full of shame, my heart of teen, 808 Mine ears, that to your wanton talk attended Do burn themselves for having so offended.” With this he breaketh from the sweet embrace 811 Of those fair arms which bound him to her breast, And homeward through the dark laund runs apace; Leaves love upon her back deeply distress’d. Look how a bright star shooteth from the sky, So glides he in the night from Venus’ eye. 816 Which after him she darts, as one on shore Gazing upon a late embarked friend, Till the wild waves will have him seen no more, Whose ridges with the meeting clouds contend: 820 So did the merciless and pitchy night Fold in the object that did feed her sight. Whereat amaz’d, as one that unaware Hath dropp’d a precious jewel in the flood, 824 Or ’stonish’d as night-wanderers often are, Their light blown out in some mistrustful wood; Even so confounded in the dark she lay, Having lost the fair discovery of her way. 828 And now she beats her heart, whereat it groans, That all the neighbour caves, as seeming troubled, Make verbal repetition of her moans; Passion on passion deeply is redoubled: 832 “Ay me!” she cries, and twenty times, “Woe, woe!” And twenty echoes twenty times cry so. She marking them, begins a wailing note, And sings extemporally a woeful ditty; 836 How love makes young men thrall, and old men dote, How love is wise in folly foolish witty: Her heavy anthem still concludes in woe, And still the choir of echoes answer so. 840 Her song was tedious, and outwore the night, For lovers’ hours are long, though seeming short, If pleas’d themselves, others they think, delight In such like circumstance, with such like sport: 844 Their copious stories oftentimes begun, End without audience, and are never done. For who hath she to spend the night withal, But idle sounds resembling parasites; 848 Like shrill-tongu’d tapsters answering every call, Soothing the humour of fantastic wits? She says, “’Tis so:” they answer all, “’Tis so;” And would say after her, if she said “No.” 852 Lo here the gentle lark, weary of rest, From his moist cabinet mounts up on high, And wakes the morning, from whose silver breast The sun ariseth in his majesty; 856 Who doth the world so gloriously behold, That cedar tops and hills seem burnish’d gold. Venus salutes him with this fair good morrow: “Oh thou clear god, and patron of all light, 860 From whom each lamp and shining star doth borrow The beauteous influence that makes him bright, There lives a son that suck’d an earthly mother, May lend thee light, as thou dost lend to other.” This said, she hasteth to a myrtle grove, 865 Musing the morning is so much o’erworn, And yet she hears no tidings of her love; She hearkens for his hounds and for his horn. 868 Anon she hears them chant it lustily, And all in haste she coasteth to the cry. And as she runs, the bushes in the way Some catch her by the neck, some kiss her face, 872 Some twine about her thigh to make her stay: She wildly breaketh from their strict embrace, Like a milch doe, whose swelling dugs do ache, Hasting to feed her fawn hid in some brake. 876 By this she hears the hounds are at a bay, Whereat she starts like one that spies an adder Wreath’d up in fatal folds just in his way, The fear whereof doth make him shake and shudder; 880 Even so the timorous yelping of the hounds Appals her senses, and her spirit confounds. For now she knows it is no gentle chase, But the blunt boar, rough bear, or lion proud, 884 Because the cry remaineth in one place, Where fearfully the dogs exclaim aloud, Finding their enemy to be so curst, They all strain court’sy who shall cope him first. 888 This dismal cry rings sadly in her ear, Through which it enters to surprise her heart; Who overcome by doubt and bloodless fear, With cold-pale weakness numbs each feeling part; 892 Like soldiers when their captain once doth yield, They basely fly and dare not stay the field. Thus stands she in a trembling ecstasy, Till cheering up her senses sore dismay’d, 896 She tells them ’tis a causeless fantasy, And childish error, that they are afraid; Bids them leave quaking, bids them fear no more: And with that word, she spied the hunted boar. 900 Whose frothy mouth bepainted all with red, Like milk and blood being mingled both together, A second fear through all her sinews spread, Which madly hurries her she knows not whither: 904 This way she runs, and now she will no further, But back retires, to rate the boar for murther. A thousand spleens bear her a thousand ways, She treads the path that she untreads again; 908 Her more than haste is mated with delays, Like the proceedings of a drunken brain, Full of respects, yet naught at all respecting, In hand with all things, naught at all effecting. Here kennel’d in a brake she finds a hound, 913 And asks the weary caitiff for his master, And there another licking of his wound, ’Gainst venom’d sores the only sovereign plaster. 916 And here she meets another sadly scowling, To whom she speaks, and he replies with howling. When he hath ceas’d his ill-resounding noise, Another flap-mouth’d mourner, black and grim, 920 Against the welkin volleys out his voice; Another and another answer him, Clapping their proud tails to the ground below, Shaking their scratch’d ears, bleeding as they go. Look how the world’s poor people are amazed 925 At apparitions, signs, and prodigies, Whereon with fearful eyes they long have gazed, Infusing them with dreadful prophecies; 928 So she at these sad sighs draws up her breath, And sighing it again, exclaims on death. “Hard-favour’d tyrant, ugly, meagre, lean, 931 Hateful divorce of love,” thus chides she death, “Grim-grinning ghost, earth’s worm, what dost thou mean? To stifle beauty and to steal his breath, Who when he liv’d, his breath and beauty set Gloss on the rose, smell to the violet. 936 “If he be dead, O no, it cannot be, Seeing his beauty, thou shouldst strike at it, O yes, it may, thou hast no eyes to see, But hatefully at random dost thou hit. 940 Thy mark is feeble age, but thy false dart Mistakes that aim, and cleaves an infant’s heart. “Hadst thou but bid beware, then he had spoke, And hearing him, thy power had lost his power. 944 The destinies will curse thee for this stroke; They bid thee crop a weed, thou pluck’st a flower. Love’s golden arrow at him should have fled, And not death’s ebon dart to strike him dead. 948 “Dost thou drink tears, that thou provok’st such weeping? What may a heavy groan advantage thee? Why hast thou cast into eternal sleeping Those eyes that taught all other eyes to see? 952 Now nature cares not for thy mortal vigour, Since her best work is ruin’d with thy rigour.” Here overcome, as one full of despair, She vail’d her eyelids, who like sluices stopp’d 956 The crystal tide that from her two cheeks fair In the sweet channel of her bosom dropp’d But through the flood-gates breaks the silver rain, And with his strong course opens them again. 960 O how her eyes and tears did lend and borrow; Her eyes seen in the tears, tears in her eye; Both crystals, where they view’d each other’s sorrow, Sorrow that friendly sighs sought still to dry; 964 But like a stormy day, now wind, now rain, Sighs dry her cheeks, tears make them wet again. Variable passions throng her constant woe, As striving who should best become her grief; 968 All entertain’d, each passion labours so, That every present sorrow seemeth chief, But none is best, then join they all together, Like many clouds consulting for foul weather. 972 By this, far off she hears some huntsman holla; A nurse’s song ne’er pleas’d her babe so well: The dire imagination she did follow This sound of hope doth labour to expel; 976 For now reviving joy bids her rejoice, And flatters her it is Adonis’ voice. Whereat her tears began to turn their tide, Being prison’d in her eye, like pearls in glass; 980 Yet sometimes falls an orient drop beside, Which her cheek melts, as scorning it should pass To wash the foul face of the sluttish ground, Who is but drunken when she seemeth drown’d. O hard-believing love, how strange it seems 985 Not to believe, and yet too credulous; Thy weal and woe are both of them extremes; Despair and hope make thee ridiculous, 988 The one doth flatter thee in thoughts unlikely, In likely thoughts the other kills thee quickly. Now she unweaves the web that she hath wrought, Adonis lives, and death is not to blame; 992 It was not she that call’d him all to naught; Now she adds honours to his hateful name. She clepes him king of graves, and grave for kings, Imperious supreme of all mortal things. 996 “No, no,” quoth she, “sweet death, I did but jest; Yet pardon me, I felt a kind of fear Whenas I met the boar, that bloody beast, Which knows no pity, but is still severe; 1000 Then, gentle shadow,—truth I must confess— I rail’d on thee, fearing my love’s decease. “’Tis not my fault, the boar provok’d my tongue; Be wreak’d on him, invisible commander; 1004 ’Tis he, foul creature, that hath done thee wrong; I did but act, he’s author of my slander. Grief hath two tongues, and never woman yet, Could rule them both, without ten women’s wit.” Thus hoping that Adonis is alive, 1009 Her rash suspect she doth extenuate; And that his beauty may the better thrive, With death she humbly doth insinuate; 1012 Tells him of trophies, statues, tombs and stories His victories, his triumphs and his glories. “O love!” quoth she, “how much a fool was I, To be of such a weak and silly mind, 1016 To wail his death who lives, and must not die Till mutual overthrow of mortal kind; For he being dead, with him is beauty slain, And beauty dead, black Chaos comes again. 1020 “Fie, fie, fond love, thou art as full of fear As one with treasure laden, hemm’d with thieves, Trifles unwitnessed with eye or ear, Thy coward heart with false bethinking grieves.” 1024 Even at this word she hears a merry horn, Whereat she leaps that was but late forlorn. As falcon to the lure, away she flies; The grass stoops not, she treads on it so light, 1028 And in her haste unfortunately spies The foul boar’s conquest on her fair delight; Which seen, her eyes, as murder’d with the view, Like stars asham’d of day, themselves withdrew. Or as the snail, whose tender horns being hit, 1033 Shrinks backwards in his shelly cave with pain, And there all smother’d up, in shade doth sit, Long after fearing to creep forth again: 1036 So at his bloody view her eyes are fled Into the deep dark cabins of her head. Where they resign their office and their light To the disposing of her troubled brain, 1040 Who bids them still consort with ugly night, And never wound the heart with looks again; Who like a king perplexed in his throne, By their suggestion gives a deadly groan. 1044 Whereat each tributary subject quakes, As when the wind imprison’d in the ground, Struggling for passage, earth’s foundation shakes, Which with cold terror doth men’s minds confound. This mutiny each part doth so surprise 1049 That from their dark beds once more leap her eyes. And being open’d, threw unwilling light Upon the wide wound that the boar had trench’d In his soft flank, whose wonted lily white 1053 With purple tears that his wound wept, was drench’d. No flower was nigh, no grass, herb, leaf or weed, But stole his blood and seem’d with him to bleed. This solemn sympathy poor Venus noteth, 1057 Over one shoulder doth she hang her head, Dumbly she passions, franticly she doteth; She thinks he could not die, he is not dead: 1060 Her voice is stopp’d, her joints forget to bow, Her eyes are mad, that they have wept till now. Upon his hurt she looks so steadfastly, That her sight dazzling makes the wound seem three; And then she reprehends her mangling eye, 1065 That makes more gashes, where no breach should be: His face seems twain, each several limb is doubled, For oft the eye mistakes, the brain being troubled. “My tongue cannot express my grief for one, 1069 And yet,” quoth she, “behold two Adons dead! My sighs are blown away, my salt tears gone, Mine eyes are turn’d to fire, my heart to lead: 1072 Heavy heart’s lead, melt at mine eyes’ red fire! So shall I die by drops of hot desire. “Alas poor world, what treasure hast thou lost! What face remains alive that’s worth the viewing? Whose tongue is music now? what canst thou boast Of things long since, or anything ensuing? 1078 The flowers are sweet, their colours fresh and trim, But true sweet beauty liv’d and died with him. “Bonnet nor veil henceforth no creature wear! 1081 Nor sun nor wind will ever strive to kiss you: Having no fair to lose, you need not fear; The sun doth scorn you, and the wind doth hiss you. But when Adonis liv’d, sun and sharp air 1085 Lurk’d like two thieves, to rob him of his fair. “And therefore would he put his bonnet on, Under whose brim the gaudy sun would peep; 1088 The wind would blow it off, and being gone, Play with his locks; then would Adonis weep; And straight, in pity of his tender years, They both would strive who first should dry his tears. “To see his face the lion walk’d along 1093 Behind some hedge, because he would not fear him; To recreate himself when he hath sung, The tiger would be tame and gently hear him. 1096 If he had spoke, the wolf would leave his prey, And never fright the silly lamb that day. “When he beheld his shadow in the brook, The fishes spread on it their golden gills; 1100 When he was by, the birds such pleasure took, That some would sing, some other in their bills Would bring him mulberries and ripe-red cherries, He fed them with his sight, they him with berries. “But this foul, grim, and urchin-snouted boar, 1105 Whose downward eye still looketh for a grave, Ne’er saw the beauteous livery that he wore; Witness the entertainment that he gave. 1108 If he did see his face, why then I know He thought to kiss him, and hath kill’d him so. “’Tis true, ’tis true; thus was Adonis slain: He ran upon the boar with his sharp spear, 1112 Who did not whet his teeth at him again, But by a kiss thought to persuade him there; And nuzzling in his flank, the loving swine Sheath’d unaware the tusk in his soft groin. 1116 “Had I been tooth’d like him, I must confess, With kissing him I should have kill’d him first; But he is dead, and never did he bless My youth with his; the more am I accurst.” 1120 With this she falleth in the place she stood, And stains her face with his congealed blood. She looks upon his lips, and they are pale; She takes him by the hand, and that is cold, 1124 She whispers in his ears a heavy tale, As if they heard the woeful words she told; She lifts the coffer-lids that close his eyes, Where lo, two lamps burnt out in darkness lies. Two glasses where herself herself beheld 1129 A thousand times, and now no more reflect; Their virtue lost, wherein they late excell’d, And every beauty robb’d of his effect. 1132 “Wonder of time,” quoth she, “this is my spite, That thou being dead, the day should yet be light. “Since thou art dead, lo here I prophesy, Sorrow on love hereafter shall attend: 1136 It shall be waited on with jealousy, Find sweet beginning, but unsavoury end; Ne’er settled equally, but high or low, That all love’s pleasure shall not match his woe. “It shall be fickle, false and full of fraud, 1141 Bud, and be blasted in a breathing while; The bottom poison, and the top o’erstraw’d With sweets that shall the truest sight beguile. 1144 The strongest body shall it make most weak, Strike the wise dumb, and teach the fool to speak. “It shall be sparing, and too full of riot, Teaching decrepit age to tread the measures; 1148 The staring ruffian shall it keep in quiet, Pluck down the rich, enrich the poor with treasures; It shall be raging mad, and silly mild, Make the young old, the old become a child. 1152 “It shall suspect where is no cause of fear, It shall not fear where it should most mistrust; It shall be merciful, and too severe, And most deceiving when it seems most just; 1156 Perverse it shall be, where it shows most toward, Put fear to valour, courage to the coward. “It shall be cause of war and dire events, And set dissension ’twixt the son and sire; 1160 Subject and servile to all discontents, As dry combustious matter is to fire, Sith in his prime death doth my love destroy, They that love best their love shall not enjoy.” 1164 By this the boy that by her side lay kill’d Was melted like a vapour from her sight, And in his blood that on the ground lay spill’d, A purple flower sprung up, chequer’d with white, 1168 Resembling well his pale cheeks, and the blood Which in round drops upon their whiteness stood. She bows her head, the new-sprung flower to smell, Comparing it to her Adonis’ breath; 1172 And says within her bosom it shall dwell, Since he himself is reft from her by death; She drops the stalk, and in the breach appears Green-dropping sap, which she compares to tears. “Poor flower,” quoth she, “this was thy father’s guise, Sweet issue of a more sweet-smelling sire, For every little grief to wet his eyes, To grow unto himself was his desire, 1180 And so ’tis thine; but know, it is as good To wither in my breast as in his blood. “Here was thy father’s bed, here in my breast; Thou art the next of blood, and ’tis thy right: 1184 Lo in this hollow cradle take thy rest, My throbbing heart shall rock thee day and night: There shall not be one minute in an hour Wherein I will not kiss my sweet love’s flower.” Thus weary of the world, away she hies, 1189 And yokes her silver doves; by whose swift aid Their mistress mounted through the empty skies, In her light chariot quickly is convey’d; 1192 Holding their course to Paphos, where their queen Means to immure herself and not be seen. 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'" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 9 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "4cx1mm3mdPGe", + "colab_type": "code", + "colab": {} + }, + "source": [ + "#Data encoding as characters \n", + "text_play = \" \".join(data_play)\n", + "chars = list(set(text_play)) # Unique characters for specific text encoding. \n", + "char_int = {c:i for i, c in enumerate(chars)}\n", + "int_char = {i:c for i, c in enumerate(chars)}" + ], + "execution_count": 10, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "fn8GEtUod2D4", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "c6d968bd-d814-4e55-da2f-bd4fcf011713" + }, + "source": [ + "char_int['a']" + ], + "execution_count": 11, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "26" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 11 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "knTGXEc5eB1P", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "6a4c211e-465c-49a2-da16-5edd95fa0234" + }, + "source": [ + "int_char[77]" + ], + "execution_count": 12, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + }, + "text/plain": [ + "'3'" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 12 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "I7TyA8VgeI3o", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "8ce0dd0f-4dca-456c-c000-e1b28a8d0fdd" + }, + "source": [ + "#sequence creator..try to do average sentence length\n", + "maxlength = 40\n", + "step = 5\n", + "encoded = [char_int[c] for c in text_play]\n", + "sequences = []\n", + "next_char = []\n", + "\n", + "for i in range(0, len(encoded) - maxlength,step):\n", + " sequences.append(encoded[i: i+ maxlength])\n", + " next_char.append(encoded[i + maxlength])\n", + "print('sequences', len(sequences))" + ], + "execution_count": 13, + "outputs": [ + { + "output_type": "stream", + "text": [ + "sequences 1091461\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "9-l582Wpfluy", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 728 + }, + "outputId": "620425ac-201e-413d-f66a-ff00ebeedf05" + }, + "source": [ + "sequences[0]" + ], + "execution_count": 14, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "[69,\n", + " 47,\n", + " 47,\n", + " 0,\n", + " 96,\n", + " 75,\n", + " 19,\n", + " 28,\n", + " 47,\n", + " 47,\n", + " 75,\n", + " 35,\n", + " 97,\n", + " 69,\n", + " 35,\n", + " 75,\n", + " 28,\n", + " 86,\n", + " 20,\n", + " 96,\n", + " 75,\n", + " 19,\n", + " 28,\n", + " 47,\n", + " 47,\n", + " 75,\n", + " 75,\n", + " 75,\n", + " 75,\n", + " 51,\n", + " 90,\n", + " 39,\n", + " 59,\n", + " 64,\n", + " 39,\n", + " 59,\n", + " 42,\n", + " 75,\n", + " 75,\n", + " 69]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 14 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "z7KBtyyhgimk", + "colab_type": "code", + "colab": {} + }, + "source": [ + "#create x and y for text generation\n", + "x = np.zeros((len(sequences), maxlength,len(chars)),dtype=np.bool)\n", + "y = np.zeros((len(sequences),len(chars)),dtype=np.bool)\n", + "\n", + "for i, sequence in enumerate(sequences):\n", + " for t, char in enumerate(sequence):\n", + " x[i,t,char] = 1\n", + "\n", + " y[i,next_char[i]] = 1\n" + ], + "execution_count": 15, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "JnoNvXqqhxU8", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "76cd256d-d340-449b-fb2e-80be7779c0ad" + }, + "source": [ + "x.shape,y.shape" + ], + "execution_count": 16, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "((1091461, 40, 104), (1091461, 104))" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 16 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "M7bv9ghTh2KE", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "013e0a9e-5cd0-4b7d-8547-2b3ef2d197a7" + }, + "source": [ + "x[1][1][1]" + ], + "execution_count": 17, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "False" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 17 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "vhCioZ1gihSK", + "colab_type": "code", + "colab": {} + }, + "source": [ + "from tensorflow.keras.callbacks import LambdaCallback\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Dense, LSTM\n", + "from tensorflow.keras.optimizers import RMSprop\n", + "import random\n", + "import sys\n", + "import os" + ], + "execution_count": 18, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "dLBwnGfxkgtl", + "colab_type": "text" + }, + "source": [ + "" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Y5ZiUF2Fi9_x", + "colab_type": "code", + "colab": {} + }, + "source": [ + "model_play = Sequential()\n", + "model_play.add(LSTM(128, input_shape=(maxlength,len(chars))))\n", + "model_play.add(Dense(len(chars),activation='softmax'))\n", + "model_play.compile(loss='categorical_crossentropy',optimizer='adam', metrics=['accuracy'])" + ], + "execution_count": 19, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "Tc5AQeWGkvAI", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 230 + }, + "outputId": "b7e91d25-0572-4079-a852-2a65509fee02" + }, + "source": [ + "model_play.summary()" + ], + "execution_count": 20, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "lstm (LSTM) (None, 128) 119296 \n", + "_________________________________________________________________\n", + "dense (Dense) (None, 104) 13416 \n", + "=================================================================\n", + "Total params: 132,712\n", + "Trainable params: 132,712\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "9z4V6q7krLXb", + "colab_type": "code", + "colab": {} + }, + "source": [ + "def sample(preds):\n", + " # Helper function to sample an index from a probability array \n", + " preds = np.asarray(preds).astype('float64')\n", + " preds = np.log(preds) / 1\n", + " exp_preds = np.exp(preds)\n", + " preds = exp_preds / np.sum(exp_preds)\n", + " probas = np.random.multinomial(1, preds, 1)\n", + " return np.argmax(probas)" + ], + "execution_count": 21, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "VRU5KesHk1jd", + "colab_type": "code", + "colab": {} + }, + "source": [ + "#functiont o print generated text at end of each eopoch\n", + "def on_epoch_end_gen_text(epoch, _):\n", + " print()\n", + " print('-----Generating textafter Epoch: %d' %epoch)\n", + "\n", + " start_index = random.randint(0, len(text_play) - maxlength -1)\n", + "\n", + " generated = ''\n", + " sentence = text_play[start_index: start_index + maxlength]\n", + " generated += sentence\n", + "\n", + " print('----generating with seed-----\"'+sentence + '\"')\n", + " sys.stdout.write(generated)\n", + "\n", + " for i in range(400):\n", + " x_pred = np.zeros((1,maxlength,len(chars)))\n", + " for t, char in enumerate(sentence):\n", + " x_pred[0,t,char_int[char]] = 1\n", + "\n", + " preds = model_play.predict(x_pred, verbose=0)[0]\n", + " next_index = sample(preds)\n", + " next_char = int_char[next_index]\n", + " sentence = sentence[1:] + next_char\n", + "\n", + " sys.stdout.write(next_char)\n", + " sys.stdout.flush()\n", + " print()\n", + "print_callback = LambdaCallback(on_epoch_end=on_epoch_end_gen_text)" + ], + "execution_count": 22, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "Seox8QsinZZi", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 52 + }, + "outputId": "395da18f-04f2-4bf9-a4fd-522b8618a805" + }, + "source": [ + "#Model Fit\n", + "model_play.fit(x, y, \n", + " batch_size=32,\n", + " epochs = 10,\n", + " validation_split=0.2,\n", + " callbacks=[print_callback])" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Epoch 1/10\n", + " 3827/27287 [===>..........................] - ETA: 16:59 - loss: 2.5478 - accuracy: 0.3233" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "QT1VD_cU2iuh", + "colab_type": "code", + "colab": {} + }, + "source": [ + " start_index = random.randint(0, len(text_play) - maxlength -1)\n", + "\n", + " generated = ''\n", + " sentence = text_play[start_index: start_index + maxlength]\n", + " generated += sentence\n", + " print(generated)\n", + " print(sentence)\n", + "\n", + "\n", + " for i in range(400):\n", + " x_pred = np.zeros((1,maxlength,len(chars)))\n", + " for t, char in enumerate(sentence):\n", + " x_pred[0,t,char_int[char]] = 1\n", + "\n", + " preds = model_play.predict(x_pred, verbose=0)[0]\n", + " next_index = sample(preds)\n", + " next_char = int_char[next_index]\n", + " sentence = sentence[1:] + next_char" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "JXB6Z-iV7pgi", + "colab_type": "code", + "colab": {} + }, + "source": [ + "" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "y0-sZxqq1sWX", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 167 + }, + "outputId": "d651a412-8fd8-427f-db5d-652da412c718" + }, + "source": [ + "sample(preds)" + ], + "execution_count": 1, + "outputs": [ + { + "output_type": "error", + "ename": "NameError", + "evalue": "ignored", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpreds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'sample' is not defined" + ] + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "YiAZV_LqpfgC", + "colab_type": "code", + "colab": {} + }, + "source": [ + "data_sonets = data[:275]" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "zE4a4O7Bp5x1" + }, + "source": [ + "# Resources and Stretch Goals" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "uT3UV3gap9H6" + }, + "source": [ + "## Stretch goals:\n", + "- Refine the training and generation of text to be able to ask for different genres/styles of Shakespearean text (e.g. plays versus sonnets)\n", + "- Train a classification model that takes text and returns which work of Shakespeare it is most likely to be from\n", + "- Make it more performant! Many possible routes here - lean on Keras, optimize the code, and/or use more resources (AWS, etc.)\n", + "- Revisit the news example from class, and improve it - use categories or tags to refine the model/generation, or train a news classifier\n", + "- Run on bigger, better data\n", + "\n", + "## Resources:\n", + "- [The Unreasonable Effectiveness of Recurrent Neural Networks](https://karpathy.github.io/2015/05/21/rnn-effectiveness/) - a seminal writeup demonstrating a simple but effective character-level NLP RNN\n", + "- [Simple NumPy implementation of RNN](https://github.com/JY-Yoon/RNN-Implementation-using-NumPy/blob/master/RNN%20Implementation%20using%20NumPy.ipynb) - Python 3 version of the code from \"Unreasonable Effectiveness\"\n", + "- [TensorFlow RNN Tutorial](https://github.com/tensorflow/models/tree/master/tutorials/rnn) - code for training a RNN on the Penn Tree Bank language dataset\n", + "- [4 part tutorial on RNN](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/) - relates RNN to the vanishing gradient problem, and provides example implementation\n", + "- [RNN training tips and tricks](https://github.com/karpathy/char-rnn#tips-and-tricks) - some rules of thumb for parameterizing and training your RNN" + ] + } + ] +} \ No newline at end of file diff --git a/module2-convolutional-neural-networks/Santiago_Berniz_LS_DS_432_Convolution_Neural_Networks_Assignment.ipynb b/module2-convolutional-neural-networks/Santiago_Berniz_LS_DS_432_Convolution_Neural_Networks_Assignment.ipynb new file mode 100644 index 00000000..e0ca1478 --- /dev/null +++ b/module2-convolutional-neural-networks/Santiago_Berniz_LS_DS_432_Convolution_Neural_Networks_Assignment.ipynb @@ -0,0 +1,1556 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "nteract": { + "version": "0.23.1" + }, + "colab": { + "name": "Santiago_Berniz_LS_DS_432_Convolution_Neural_Networks_Assignment.ipynb", + "provenance": [], + "collapsed_sections": [], + "toc_visible": true, + "include_colab_link": true + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "fc4yMj7mtCAZ", + "colab_type": "text" + }, + "source": [ + "\n", + "

\n", + "

\n", + "\n", + "## *Data Science Unit 4 Sprint 3 Assignment 2*\n", + "# Convolutional Neural Networks (CNNs)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "0lfZdD_cp1t5" + }, + "source": [ + "# Assignment\n", + "\n", + "- Part 1: Pre-Trained Model\n", + "- Part 2: Custom CNN Model\n", + "- Part 3: CNN with Data Augmentation\n", + "\n", + "\n", + "You will apply three different CNN models to a binary image classification model using Keras. Classify images of Mountains (`./data/train/mountain/*`) and images of forests (`./data/train/forest/*`). Treat mountains as the positive class (1) and the forest images as the negative (zero). \n", + "\n", + "|Mountain (+)|Forest (-)|\n", + "|---|---|\n", + "|![](https://github.com/LambdaSchool/DS-Unit-4-Sprint-3-Deep-Learning/blob/main/module2-convolutional-neural-networks/data/train/mountain/art1131.jpg?raw=1)|![](https://github.com/LambdaSchool/DS-Unit-4-Sprint-3-Deep-Learning/blob/main/module2-convolutional-neural-networks/data/validation/forest/cdmc317.jpg?raw=1)|\n", + "\n", + "The problem is relatively difficult given that the sample is tiny: there are about 350 observations per class. This sample size might be something that you can expect with prototyping an image classification problem/solution at work. Get accustomed to evaluating several different possible models." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "1eawBP-otCAb" + }, + "source": [ + "# Pre - Trained Model\n", + "\n", + "\n", + "Load a pretrained network from Keras, [ResNet50](https://tfhub.dev/google/imagenet/resnet_v1_50/classification/1) - a 50 layer deep network trained to recognize [1000 objects](https://storage.googleapis.com/download.tensorflow.org/data/ImageNetLabels.txt). Starting usage:\n", + "\n", + "```python\n", + "import numpy as np\n", + "\n", + "from tensorflow.keras.applications.resnet50 import ResNet50\n", + "from tensorflow.keras.preprocessing import image\n", + "from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions\n", + "\n", + "from tensorflow.keras.layers import Dense, GlobalAveragePooling2D\n", + "from tensorflow.keras.models import Model # This is the functional API\n", + "\n", + "resnet = ResNet50(weights='imagenet', include_top=False)\n", + "\n", + "```\n", + "\n", + "The `include_top` parameter in `ResNet50` will remove the full connected layers from the ResNet model. The next step is to turn off the training of the ResNet layers. We want to use the learned parameters without updating them in future training passes. \n", + "\n", + "```python\n", + "for layer in resnet.layers:\n", + " layer.trainable = False\n", + "```\n", + "\n", + "Using the Keras functional API, we will need to additional additional full connected layers to our model. We we removed the top layers, we removed all preivous fully connected layers. In other words, we kept only the feature processing portions of our network. You can expert with additional layers beyond what's listed here. The `GlobalAveragePooling2D` layer functions as a really fancy flatten function by taking the average of each of the last convolutional layer outputs (which is two dimensional still). \n", + "\n", + "```python\n", + "x = resnet.output\n", + "x = GlobalAveragePooling2D()(x) # This layer is a really fancy flatten\n", + "x = Dense(1024, activation='relu')(x)\n", + "predictions = Dense(1, activation='sigmoid')(x)\n", + "model = Model(resnet.input, predictions)\n", + "```\n", + "\n", + "Your assignment is to apply the transfer learning above to classify images of Mountains (`./data/train/mountain/*`) and images of forests (`./data/train/forest/*`). Treat mountains as the positive class (1) and the forest images as the negative (zero). \n", + "\n", + "Steps to complete assignment: \n", + "1. Load in Image Data into numpy arrays (`X`) \n", + "2. Create a `y` for the labels\n", + "3. Train your model with pre-trained layers from resnet\n", + "4. Report your model's accuracy" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CLdGdXCatCAb", + "colab_type": "text" + }, + "source": [ + "## Load in Data\n", + "\n", + "This surprisingly more difficult than it seems, because you are working with directories of images instead of a single file. This boiler plate will help you download a zipped version of the directory of images. The directory is organized into \"train\" and \"validation\" which you can use inside an `ImageGenerator` class to stream batches of images thru your model. \n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "moRVuHUqtCAc", + "colab_type": "text" + }, + "source": [ + "### Download & Summarize the Data\n", + "\n", + "This step is completed for you. Just run the cells and review the results. " + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "AR66H8o9tCAc", + "colab_type": "code", + "colab": {} + }, + "source": [ + "import tensorflow as tf\n", + "import os\n", + "\n", + "_URL = 'https://github.com/LambdaSchool/DS-Unit-4-Sprint-3-Deep-Learning/blob/main/module2-convolutional-neural-networks/data.zip?raw=true'\n", + "\n", + "path_to_zip = tf.keras.utils.get_file('./data.zip', origin=_URL, extract=True)\n", + "PATH = os.path.join(os.path.dirname(path_to_zip), 'data')" + ], + "execution_count": 90, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "MNFsIu_KtCAg", + "colab_type": "code", + "colab": {} + }, + "source": [ + "train_dir = os.path.join(PATH, 'train')\n", + "validation_dir = os.path.join(PATH, 'validation')" + ], + "execution_count": 91, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "OsI9BQLotCAj", + "colab_type": "code", + "colab": {} + }, + "source": [ + "train_mountain_dir = os.path.join(train_dir, 'mountain') # directory with our training cat pictures\n", + "train_forest_dir = os.path.join(train_dir, 'forest') # directory with our training dog pictures\n", + "validation_mountain_dir = os.path.join(validation_dir, 'mountain') # directory with our validation cat pictures\n", + "validation_forest_dir = os.path.join(validation_dir, 'forest') # directory with our validation dog pictures" + ], + "execution_count": 92, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "NUs1e5-XtCAl", + "colab_type": "code", + "colab": {} + }, + "source": [ + "num_mountain_tr = len(os.listdir(train_mountain_dir))\n", + "num_forest_tr = len(os.listdir(train_forest_dir))\n", + "\n", + "num_mountain_val = len(os.listdir(validation_mountain_dir))\n", + "num_forest_val = len(os.listdir(validation_forest_dir))\n", + "\n", + "total_train = num_mountain_tr + num_forest_tr\n", + "total_val = num_mountain_val + num_forest_val" + ], + "execution_count": 93, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "ZmklbgSMtCAn", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 141 + }, + "outputId": "e6821044-693c-49f2-ff78-d942f71d222e" + }, + "source": [ + "print('total training mountain images:', num_mountain_tr)\n", + "print('total training forest images:', num_forest_tr)\n", + "\n", + "print('total validation mountain images:', num_mountain_val)\n", + "print('total validation forest images:', num_forest_val)\n", + "print(\"--\")\n", + "print(\"Total training images:\", total_train)\n", + "print(\"Total validation images:\", total_val)" + ], + "execution_count": 94, + "outputs": [ + { + "output_type": "stream", + "text": [ + "total training mountain images: 254\n", + "total training forest images: 270\n", + "total validation mountain images: 125\n", + "total validation forest images: 62\n", + "--\n", + "Total training images: 524\n", + "Total validation images: 187\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "dQ4ag4ultCAq", + "colab_type": "text" + }, + "source": [ + "### Keras `ImageGenerator` to Process the Data\n", + "\n", + "This step is completed for you, but please review the code. The `ImageGenerator` class reads in batches of data from a directory and pass them to the model one batch at a time. Just like large text files, this method is advantageous, because it stifles the need to load a bunch of images into memory. \n", + "\n", + "Check out the documentation for this class method: [Keras `ImageGenerator` Class](https://keras.io/preprocessing/image/#imagedatagenerator-class). You'll expand it's use in the third assignment objective." + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "67i9IW49tCAq", + "colab_type": "code", + "colab": {} + }, + "source": [ + "batch_size = 16\n", + "epochs = 50\n", + "IMG_HEIGHT = 224\n", + "IMG_WIDTH = 224" + ], + "execution_count": 95, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "B1wNKMo1tCAt", + "colab_type": "code", + "colab": {} + }, + "source": [ + "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", + "\n", + "train_image_generator = ImageDataGenerator(rescale=1./255) # Generator for our training data\n", + "validation_image_generator = ImageDataGenerator(rescale=1./255) # Generator for our validation data" + ], + "execution_count": 96, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "ndsuM4L9tCAv", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "cb4fc5d5-8cf2-4b2f-cc69-286b9ea98ec1" + }, + "source": [ + "train_data_gen = train_image_generator.flow_from_directory(batch_size=batch_size,\n", + " directory=train_dir,\n", + " shuffle=True,\n", + " target_size=(IMG_HEIGHT, IMG_WIDTH),\n", + " class_mode='binary')" + ], + "execution_count": 97, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Found 533 images belonging to 2 classes.\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "9kxlk3optCAy", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "f7f41d6f-c1f6-4d11-c9e7-fe21313a5107" + }, + "source": [ + "val_data_gen = validation_image_generator.flow_from_directory(batch_size=batch_size,\n", + " directory=validation_dir,\n", + " target_size=(IMG_HEIGHT, IMG_WIDTH),\n", + " class_mode='binary')" + ], + "execution_count": 98, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Found 195 images belonging to 2 classes.\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "xr38fifjfaVj", + "colab_type": "code", + "colab": {} + }, + "source": [ + "" + ], + "execution_count": 98, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2l7ue6NutCA0", + "colab_type": "text" + }, + "source": [ + "## Instatiate Model" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "mKNIYOEItCA0", + "colab_type": "code", + "colab": {} + }, + "source": [ + "import numpy as np\n", + " \n", + "from tensorflow.keras.applications.resnet50 import ResNet50\n", + "from tensorflow.keras.preprocessing import image\n", + "from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Dense,Conv2D, GlobalAveragePooling2D, MaxPooling2D, Flatten\n", + "from tensorflow.keras.models import Model # This is the functional API\n", + " \n", + "resnet = ResNet50(weights='imagenet', include_top=False)\n", + " " + ], + "execution_count": 99, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "coyGypPjhmd9", + "colab_type": "code", + "colab": {} + }, + "source": [ + "for layer in resnet.layers:\n", + " layer.trainable = False" + ], + "execution_count": 100, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "Q3wthuBgh6Wd", + "colab_type": "code", + "colab": {} + }, + "source": [ + "x = resnet.output\n", + "x = GlobalAveragePooling2D()(x) # This layer is a really fancy flatten\n", + "x = Dense(1024, activation='relu')(x)\n", + "predictions = Dense(1, activation='sigmoid')(x)\n", + "model = Model(resnet.input, predictions)\n" + ], + "execution_count": 101, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "JRSiaWy4lZYG", + "colab_type": "code", + "colab": {} + }, + "source": [ + "model.compile(optimizer='adam',\n", + " loss='binary_crossentropy',\n", + " metrics=['accuracy'])" + ], + "execution_count": 103, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "BVPBWYG7tCA2", + "colab_type": "text" + }, + "source": [ + "## Fit Model" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "H4XdvWA5tCA3", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "7696ddff-1285-4b02-827b-5442b5497868" + }, + "source": [ + "history = model.fit(\n", + " train_data_gen,\n", + " steps_per_epoch=total_train // batch_size,\n", + " epochs=epochs,\n", + " validation_data=val_data_gen,\n", + " validation_steps=total_val // batch_size\n", + ")" + ], + "execution_count": 104, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Epoch 1/50\n", + "32/32 [==============================] - 3s 100ms/step - loss: 0.8278 - accuracy: 0.5150 - val_loss: 1.3684 - val_accuracy: 0.3636\n", + "Epoch 2/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.7219 - accuracy: 0.5629 - val_loss: 0.5419 - val_accuracy: 0.6932\n", + "Epoch 3/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.5531 - accuracy: 0.7405 - val_loss: 0.5176 - val_accuracy: 0.8295\n", + "Epoch 4/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.4950 - accuracy: 0.7705 - val_loss: 0.5616 - val_accuracy: 0.7670\n", + "Epoch 5/50\n", + "32/32 [==============================] - 2s 78ms/step - loss: 0.4456 - accuracy: 0.8483 - val_loss: 0.4347 - val_accuracy: 0.8693\n", + "Epoch 6/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.4103 - accuracy: 0.8683 - val_loss: 0.4453 - val_accuracy: 0.8295\n", + "Epoch 7/50\n", + "32/32 [==============================] - 2s 78ms/step - loss: 0.3903 - accuracy: 0.8574 - val_loss: 0.4421 - val_accuracy: 0.8352\n", + "Epoch 8/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.3623 - accuracy: 0.8503 - val_loss: 0.4480 - val_accuracy: 0.8239\n", + "Epoch 9/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.3318 - accuracy: 0.8922 - val_loss: 0.3404 - val_accuracy: 0.8864\n", + "Epoch 10/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.3013 - accuracy: 0.8942 - val_loss: 0.3203 - val_accuracy: 0.8864\n", + "Epoch 11/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.2763 - accuracy: 0.8942 - val_loss: 0.3556 - val_accuracy: 0.8466\n", + "Epoch 12/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.2728 - accuracy: 0.9002 - val_loss: 0.2753 - val_accuracy: 0.9205\n", + "Epoch 13/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.2675 - accuracy: 0.9162 - val_loss: 0.4000 - val_accuracy: 0.8352\n", + "Epoch 14/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.3729 - accuracy: 0.8064 - val_loss: 0.7978 - val_accuracy: 0.5625\n", + "Epoch 15/50\n", + "32/32 [==============================] - 3s 79ms/step - loss: 0.3035 - accuracy: 0.8703 - val_loss: 0.2736 - val_accuracy: 0.9091\n", + "Epoch 16/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.2117 - accuracy: 0.9261 - val_loss: 0.2576 - val_accuracy: 0.9091\n", + "Epoch 17/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.2267 - accuracy: 0.9261 - val_loss: 0.3125 - val_accuracy: 0.8580\n", + "Epoch 18/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1900 - accuracy: 0.9301 - val_loss: 0.2502 - val_accuracy: 0.9205\n", + "Epoch 19/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1766 - accuracy: 0.9441 - val_loss: 0.2430 - val_accuracy: 0.9148\n", + "Epoch 20/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.2147 - accuracy: 0.9141 - val_loss: 0.3066 - val_accuracy: 0.8523\n", + "Epoch 21/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.1597 - accuracy: 0.9481 - val_loss: 0.2870 - val_accuracy: 0.8693\n", + "Epoch 22/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1571 - accuracy: 0.9541 - val_loss: 0.6441 - val_accuracy: 0.7216\n", + "Epoch 23/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1895 - accuracy: 0.9202 - val_loss: 0.2645 - val_accuracy: 0.9091\n", + "Epoch 24/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1394 - accuracy: 0.9601 - val_loss: 0.2192 - val_accuracy: 0.9375\n", + "Epoch 25/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.1844 - accuracy: 0.9261 - val_loss: 0.2260 - val_accuracy: 0.9375\n", + "Epoch 26/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1374 - accuracy: 0.9521 - val_loss: 0.2588 - val_accuracy: 0.8977\n", + "Epoch 27/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.1251 - accuracy: 0.9641 - val_loss: 0.1993 - val_accuracy: 0.9205\n", + "Epoch 28/50\n", + "32/32 [==============================] - 3s 78ms/step - loss: 0.1731 - accuracy: 0.9242 - val_loss: 0.3920 - val_accuracy: 0.8409\n", + "Epoch 29/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1402 - accuracy: 0.9561 - val_loss: 0.3047 - val_accuracy: 0.8636\n", + "Epoch 30/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.1064 - accuracy: 0.9701 - val_loss: 0.3511 - val_accuracy: 0.8636\n", + "Epoch 31/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.0965 - accuracy: 0.9760 - val_loss: 0.4688 - val_accuracy: 0.8011\n", + "Epoch 32/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.1011 - accuracy: 0.9741 - val_loss: 0.2065 - val_accuracy: 0.9318\n", + "Epoch 33/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1244 - accuracy: 0.9521 - val_loss: 0.3189 - val_accuracy: 0.8693\n", + "Epoch 34/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.1052 - accuracy: 0.9641 - val_loss: 0.4042 - val_accuracy: 0.8466\n", + "Epoch 35/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.0903 - accuracy: 0.9760 - val_loss: 0.2936 - val_accuracy: 0.8807\n", + "Epoch 36/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.1617 - accuracy: 0.9261 - val_loss: 0.1895 - val_accuracy: 0.9432\n", + "Epoch 37/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.0925 - accuracy: 0.9701 - val_loss: 0.3425 - val_accuracy: 0.8636\n", + "Epoch 38/50\n", + "32/32 [==============================] - 2s 76ms/step - loss: 0.1164 - accuracy: 0.9561 - val_loss: 0.2032 - val_accuracy: 0.9375\n", + "Epoch 39/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1274 - accuracy: 0.9461 - val_loss: 0.2654 - val_accuracy: 0.9091\n", + "Epoch 40/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.0815 - accuracy: 0.9721 - val_loss: 0.2096 - val_accuracy: 0.9375\n", + "Epoch 41/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.0855 - accuracy: 0.9681 - val_loss: 0.2884 - val_accuracy: 0.8807\n", + "Epoch 42/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1297 - accuracy: 0.9521 - val_loss: 0.2144 - val_accuracy: 0.9318\n", + "Epoch 43/50\n", + "32/32 [==============================] - 2s 78ms/step - loss: 0.0887 - accuracy: 0.9721 - val_loss: 0.3677 - val_accuracy: 0.8466\n", + "Epoch 44/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1050 - accuracy: 0.9481 - val_loss: 0.5409 - val_accuracy: 0.8182\n", + "Epoch 45/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1595 - accuracy: 0.9381 - val_loss: 0.1681 - val_accuracy: 0.9545\n", + "Epoch 46/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1677 - accuracy: 0.9261 - val_loss: 1.0860 - val_accuracy: 0.6818\n", + "Epoch 47/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1908 - accuracy: 0.9242 - val_loss: 0.3060 - val_accuracy: 0.8977\n", + "Epoch 48/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.0854 - accuracy: 0.9701 - val_loss: 0.1820 - val_accuracy: 0.9432\n", + "Epoch 49/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.1027 - accuracy: 0.9641 - val_loss: 0.2533 - val_accuracy: 0.9148\n", + "Epoch 50/50\n", + "32/32 [==============================] - 2s 77ms/step - loss: 0.0623 - accuracy: 0.9780 - val_loss: 0.2322 - val_accuracy: 0.9375\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "vOdW-QIYl8-r", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "230cf9bb-0002-478f-ab28-0c7130239975" + }, + "source": [ + "train_data_gen.image_shape" + ], + "execution_count": 106, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(224, 224, 3)" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 106 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "c3-rfC98mPJJ", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 295 + }, + "outputId": "c8758adf-295e-48c6-81c0-f1657f66414c" + }, + "source": [ + "import matplotlib.pyplot as plt\n", + "# Graph accuracy over time\n", + "eps = range(len(history.history['accuracy']))\n", + "plt.plot(eps, history.history['accuracy'], label='Train')\n", + "plt.plot(eps, history.history['val_accuracy'], label='Test')\n", + "plt.title('Accuracy over time')\n", + "plt.xlabel('Epochs')\n", + "plt.ylabel('Classification Accuracy')\n", + "plt.legend()\n", + "plt.show()" + ], + "execution_count": 107, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "_N1gJQeCngf-", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 52 + }, + "outputId": "92971dd9-8f32-45d6-a7ed-760baaed7c65" + }, + "source": [ + "model.evaluate(train_data_gen)" + ], + "execution_count": 108, + "outputs": [ + { + "output_type": "stream", + "text": [ + "34/34 [==============================] - 2s 55ms/step - loss: 0.0518 - accuracy: 0.9831\n" + ], + "name": "stdout" + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "[0.0517575778067112, 0.9831144213676453]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 108 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "UAEi4uyTuf3i", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 461 + }, + "outputId": "97adc981-7772-4858-d5a7-cc0c710e581b" + }, + "source": [ + "train_data_gen.labels" + ], + "execution_count": 109, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1], dtype=int32)" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 109 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UPzsgS94tCA5", + "colab_type": "text" + }, + "source": [ + "# Custom CNN Model\n", + "\n", + "In this step, write and train your own convolutional neural network using Keras. You can use any architecture that suits you as long as it has at least one convolutional and one pooling layer at the beginning of the network - you can add more if you want. " + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "hnbJJie3tCA5", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 444 + }, + "outputId": "8bdb7e61-dcc9-4a2f-ec12-66324716751b" + }, + "source": [ + "# Define the Model\n", + "model_cn = Sequential()\n", + "model_cn.add(Conv2D(32,(3,3), activation='relu', input_shape=(IMG_WIDTH, IMG_HEIGHT, 3)))\n", + "model_cn.add(MaxPooling2D((2,2,)))\n", + "model_cn.add(Conv2D(64, (3,3), activation='relu'))\n", + "model_cn.add(MaxPooling2D((2,2,)))\n", + "model_cn.add(Conv2D(64, (3,3), activation='relu'))\n", + "model_cn.add(Flatten())\n", + "model_cn.add(Dense(64, activation='relu'))\n", + "model_cn.add(Dense(1,activation='sigmoid'))\n", + "model_cn.summary()" + ], + "execution_count": 110, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Model: \"sequential_2\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d_6 (Conv2D) (None, 222, 222, 32) 896 \n", + "_________________________________________________________________\n", + "max_pooling2d_4 (MaxPooling2 (None, 111, 111, 32) 0 \n", + "_________________________________________________________________\n", + "conv2d_7 (Conv2D) (None, 109, 109, 64) 18496 \n", + "_________________________________________________________________\n", + "max_pooling2d_5 (MaxPooling2 (None, 54, 54, 64) 0 \n", + "_________________________________________________________________\n", + "conv2d_8 (Conv2D) (None, 52, 52, 64) 36928 \n", + "_________________________________________________________________\n", + "flatten_2 (Flatten) (None, 173056) 0 \n", + "_________________________________________________________________\n", + "dense_8 (Dense) (None, 64) 11075648 \n", + "_________________________________________________________________\n", + "dense_9 (Dense) (None, 1) 65 \n", + "=================================================================\n", + "Total params: 11,132,033\n", + "Trainable params: 11,132,033\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "1P_mRtoutCA9", + "colab_type": "code", + "colab": {} + }, + "source": [ + "# Compile Model\n", + "model_cn.compile(optimizer='adam',\n", + " loss='binary_crossentropy',\n", + " metrics=['accuracy'])" + ], + "execution_count": 111, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "colab_type": "code", + "id": "L-RAKA3DtKyX", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "52c84443-1494-4d53-91f4-ef9ec8121f4b" + }, + "source": [ + "custom = model_cn.fit(\n", + " train_data_gen,\n", + " steps_per_epoch=total_train // batch_size,\n", + " epochs=epochs,\n", + " validation_data=val_data_gen,\n", + " validation_steps=total_val // batch_size\n", + ")" + ], + "execution_count": 112, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Epoch 1/50\n", + "32/32 [==============================] - 2s 66ms/step - loss: 0.7350 - accuracy: 0.8184 - val_loss: 0.5389 - val_accuracy: 0.8125\n", + "Epoch 2/50\n", + "32/32 [==============================] - 2s 60ms/step - loss: 0.2323 - accuracy: 0.9062 - val_loss: 0.2178 - val_accuracy: 0.9091\n", + "Epoch 3/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 0.2138 - accuracy: 0.9222 - val_loss: 0.5975 - val_accuracy: 0.8352\n", + "Epoch 4/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 0.1693 - accuracy: 0.9381 - val_loss: 0.2103 - val_accuracy: 0.9205\n", + "Epoch 5/50\n", + "32/32 [==============================] - 2s 59ms/step - loss: 0.1246 - accuracy: 0.9501 - val_loss: 0.1692 - val_accuracy: 0.9432\n", + "Epoch 6/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 0.0896 - accuracy: 0.9621 - val_loss: 0.1695 - val_accuracy: 0.9432\n", + "Epoch 7/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 0.0461 - accuracy: 0.9880 - val_loss: 0.1383 - val_accuracy: 0.9318\n", + "Epoch 8/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 0.0364 - accuracy: 0.9840 - val_loss: 0.1106 - val_accuracy: 0.9545\n", + "Epoch 9/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 0.0193 - accuracy: 0.9940 - val_loss: 0.1358 - val_accuracy: 0.9432\n", + "Epoch 10/50\n", + "32/32 [==============================] - 2s 56ms/step - loss: 0.1336 - accuracy: 0.9401 - val_loss: 0.5030 - val_accuracy: 0.8580\n", + "Epoch 11/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 0.0949 - accuracy: 0.9601 - val_loss: 0.1439 - val_accuracy: 0.9375\n", + "Epoch 12/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 0.0242 - accuracy: 0.9940 - val_loss: 0.7601 - val_accuracy: 0.8409\n", + "Epoch 13/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 0.0653 - accuracy: 0.9741 - val_loss: 0.1481 - val_accuracy: 0.9545\n", + "Epoch 14/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 0.0476 - accuracy: 0.9860 - val_loss: 0.4102 - val_accuracy: 0.8295\n", + "Epoch 15/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 0.0122 - accuracy: 0.9980 - val_loss: 0.1802 - val_accuracy: 0.9489\n", + "Epoch 16/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 0.0034 - accuracy: 0.9980 - val_loss: 0.3087 - val_accuracy: 0.9261\n", + "Epoch 17/50\n", + "32/32 [==============================] - 2s 60ms/step - loss: 0.0035 - accuracy: 1.0000 - val_loss: 0.7300 - val_accuracy: 0.8864\n", + "Epoch 18/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 0.0164 - accuracy: 0.9960 - val_loss: 0.2207 - val_accuracy: 0.9375\n", + "Epoch 19/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 0.0086 - accuracy: 0.9960 - val_loss: 0.2346 - val_accuracy: 0.9375\n", + "Epoch 20/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 0.0020 - accuracy: 1.0000 - val_loss: 0.3980 - val_accuracy: 0.9148\n", + "Epoch 21/50\n", + "32/32 [==============================] - 2s 59ms/step - loss: 0.0010 - accuracy: 1.0000 - val_loss: 0.2970 - val_accuracy: 0.9318\n", + "Epoch 22/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 4.7198e-04 - accuracy: 1.0000 - val_loss: 0.2204 - val_accuracy: 0.9489\n", + "Epoch 23/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 2.8988e-04 - accuracy: 1.0000 - val_loss: 0.2767 - val_accuracy: 0.9545\n", + "Epoch 24/50\n", + "32/32 [==============================] - 2s 59ms/step - loss: 2.2153e-04 - accuracy: 1.0000 - val_loss: 0.4153 - val_accuracy: 0.9318\n", + "Epoch 25/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 1.7414e-04 - accuracy: 1.0000 - val_loss: 0.4540 - val_accuracy: 0.9375\n", + "Epoch 26/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 1.2889e-04 - accuracy: 1.0000 - val_loss: 0.4472 - val_accuracy: 0.9318\n", + "Epoch 27/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 1.2322e-04 - accuracy: 1.0000 - val_loss: 0.4309 - val_accuracy: 0.9432\n", + "Epoch 28/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 1.0897e-04 - accuracy: 1.0000 - val_loss: 0.3858 - val_accuracy: 0.9489\n", + "Epoch 29/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 8.3945e-05 - accuracy: 1.0000 - val_loss: 0.4580 - val_accuracy: 0.9375\n", + "Epoch 30/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 7.3003e-05 - accuracy: 1.0000 - val_loss: 0.4556 - val_accuracy: 0.9432\n", + "Epoch 31/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 7.3156e-05 - accuracy: 1.0000 - val_loss: 0.3283 - val_accuracy: 0.9545\n", + "Epoch 32/50\n", + "32/32 [==============================] - 2s 60ms/step - loss: 4.9664e-05 - accuracy: 1.0000 - val_loss: 0.4052 - val_accuracy: 0.9489\n", + "Epoch 33/50\n", + "32/32 [==============================] - 2s 56ms/step - loss: 5.5191e-05 - accuracy: 1.0000 - val_loss: 0.4702 - val_accuracy: 0.9489\n", + "Epoch 34/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 4.6555e-05 - accuracy: 1.0000 - val_loss: 0.3772 - val_accuracy: 0.9545\n", + "Epoch 35/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 4.2356e-05 - accuracy: 1.0000 - val_loss: 0.4825 - val_accuracy: 0.9432\n", + "Epoch 36/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 3.8483e-05 - accuracy: 1.0000 - val_loss: 0.5077 - val_accuracy: 0.9375\n", + "Epoch 37/50\n", + "32/32 [==============================] - 2s 59ms/step - loss: 3.6349e-05 - accuracy: 1.0000 - val_loss: 0.5114 - val_accuracy: 0.9432\n", + "Epoch 38/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 3.3052e-05 - accuracy: 1.0000 - val_loss: 0.5156 - val_accuracy: 0.9375\n", + "Epoch 39/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 2.8690e-05 - accuracy: 1.0000 - val_loss: 0.2709 - val_accuracy: 0.9602\n", + "Epoch 40/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 2.6155e-05 - accuracy: 1.0000 - val_loss: 0.4281 - val_accuracy: 0.9489\n", + "Epoch 41/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 2.5450e-05 - accuracy: 1.0000 - val_loss: 0.3990 - val_accuracy: 0.9545\n", + "Epoch 42/50\n", + "32/32 [==============================] - 2s 58ms/step - loss: 2.3095e-05 - accuracy: 1.0000 - val_loss: 0.5356 - val_accuracy: 0.9318\n", + "Epoch 43/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 2.0386e-05 - accuracy: 1.0000 - val_loss: 0.5345 - val_accuracy: 0.9375\n", + "Epoch 44/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 2.0955e-05 - accuracy: 1.0000 - val_loss: 0.5323 - val_accuracy: 0.9318\n", + "Epoch 45/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 1.8339e-05 - accuracy: 1.0000 - val_loss: 0.5359 - val_accuracy: 0.9318\n", + "Epoch 46/50\n", + "32/32 [==============================] - 2s 56ms/step - loss: 1.5942e-05 - accuracy: 1.0000 - val_loss: 0.5395 - val_accuracy: 0.9318\n", + "Epoch 47/50\n", + "32/32 [==============================] - 2s 56ms/step - loss: 1.6414e-05 - accuracy: 1.0000 - val_loss: 0.5518 - val_accuracy: 0.9318\n", + "Epoch 48/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 1.5860e-05 - accuracy: 1.0000 - val_loss: 0.4504 - val_accuracy: 0.9375\n", + "Epoch 49/50\n", + "32/32 [==============================] - 2s 57ms/step - loss: 1.4139e-05 - accuracy: 1.0000 - val_loss: 0.4384 - val_accuracy: 0.9375\n", + "Epoch 50/50\n", + "32/32 [==============================] - 2s 59ms/step - loss: 1.2889e-05 - accuracy: 1.0000 - val_loss: 0.5437 - val_accuracy: 0.9375\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "i1xxH0dUt3CK", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 52 + }, + "outputId": "43b420ce-2af4-4cf6-aa3f-bf572821c0b2" + }, + "source": [ + "model_cn.evaluate(val_data_gen)" + ], + "execution_count": 113, + "outputs": [ + { + "output_type": "stream", + "text": [ + "13/13 [==============================] - 0s 31ms/step - loss: 0.5057 - accuracy: 0.9385\n" + ], + "name": "stdout" + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "[0.505683422088623, 0.9384615421295166]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 113 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "FNTHjUddtCBB", + "colab_type": "text" + }, + "source": [ + "# Custom CNN Model with Image Manipulations\n", + "\n", + "To simulate an increase in a sample of image, you can apply image manipulation techniques: cropping, rotation, stretching, etc. Luckily Keras has some handy functions for us to apply these techniques to our mountain and forest example. Simply, you should be able to modify our image generator for the problem. Check out these resources to help you get started: \n", + "\n", + "1. [Keras `ImageGenerator` Class](https://keras.io/preprocessing/image/#imagedatagenerator-class)\n", + "2. [Building a powerful image classifier with very little data](https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html)\n", + " " + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "7cy95rZlz-SS", + "colab_type": "code", + "colab": {} + }, + "source": [ + "train_image_generator_extra = ImageDataGenerator(rescale=1./255,\n", + " horizontal_flip=True,\n", + " zoom_range=0.2) # Generator for our training data\n", + "validation_image_generator_extra = ImageDataGenerator(rescale=1./255,\n", + " horizontal_flip=True,\n", + " zoom_range=0.2) # Generator for our validation data" + ], + "execution_count": 114, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "ubh3Tx8c0Fx2", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "a297a3f4-9978-4ce0-cf8c-d35f845ba9f1" + }, + "source": [ + "train_data_gen_extra = train_image_generator_extra.flow_from_directory(batch_size=batch_size,\n", + " directory=train_dir,\n", + " shuffle=True,\n", + " seed=10,\n", + " target_size=(IMG_HEIGHT, IMG_WIDTH),\n", + " class_mode='binary')" + ], + "execution_count": 115, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Found 533 images belonging to 2 classes.\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "zY8yPllE0MAp", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "125cbad0-09f2-4f81-8e82-b8835e0794ba" + }, + "source": [ + "val_data_gen_extra = validation_image_generator_extra.flow_from_directory(batch_size=batch_size,\n", + " directory=validation_dir,\n", + " seed=10,\n", + " target_size=(IMG_HEIGHT, IMG_WIDTH),\n", + " class_mode='binary')" + ], + "execution_count": 116, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Found 195 images belonging to 2 classes.\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "8mXL4wOD40rS", + "colab_type": "code", + "colab": {} + }, + "source": [ + "mountain = \"depositphotos_1561006-stock-photo-monch-montain.jpg\"" + ], + "execution_count": 128, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "wwmDt3twO93V", + "colab_type": "code", + "colab": {} + }, + "source": [ + "def process_img_path(img_path):\n", + " return image.load_img(img_path, target_size=(IMG_WIDTH, IMG_HEIGHT))" + ], + "execution_count": 129, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "s0HSMm64PZmn", + "colab_type": "code", + "colab": {} + }, + "source": [ + "def predict(img,mod):\n", + " labels = ['forest', 'mountain']\n", + " x = image.img_to_array(img)\n", + " x = np.expand_dims(x, axis=0)\n", + " x = x / 255.\n", + " results = mod.predict(x)\n", + " confidence = np.max(results)\n", + " label = labels[int(np.rint(results))]\n", + " print(results)\n", + " plt.imshow(x[0])\n", + " plt.title(f'label: {label}, Confidence: {confidence: .2f} ')" + ], + "execution_count": 142, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "Gq4EbiqMiZ1W", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 298 + }, + "outputId": "b9d7fcb5-efef-4af9-cd1e-d4c4b9ad7d3a" + }, + "source": [ + "predict(process_img_path('forest.jpg'),model_cn)" + ], + "execution_count": 143, + "outputs": [ + { + "output_type": "stream", + "text": [ + "[[5.483628e-30]]\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "8kEbUn6ldeks", + "colab_type": "code", + "colab": {} + }, + "source": [ + "from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img\n", + "\n", + "datagen = ImageDataGenerator(\n", + " rotation_range=40,\n", + " width_shift_range=0.2,\n", + " height_shift_range=0.2,\n", + " shear_range=0.2,\n", + " zoom_range=0.2,\n", + " horizontal_flip=True,\n", + " fill_mode='nearest')\n", + "\n", + "img = load_img('forest.jpg') # this is a PIL image\n", + "x = img_to_array(img) # this is a Numpy array with shape (3, 150, 150)\n", + "x = x.reshape((1,) + x.shape) # this is a Numpy array with shape (1, 3, 150, 150)\n", + "\n", + "# the .flow() command below generates batches of randomly transformed images\n", + "# and saves the results to the `preview/` directory\n", + "i = 0\n", + "for batch in datagen.flow(x, batch_size=1,\n", + " save_to_dir='.', save_prefix='forest', save_format='jpg'):\n", + " i += 1\n", + " if i > 3:\n", + " break # otherwise the generator would loop indef" + ], + "execution_count": 137, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "rhykjNTjnIT6", + "colab_type": "code", + "colab": {} + }, + "source": [ + "" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "XKioBv3WtCBB", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 444 + }, + "outputId": "c062022a-9ca7-4d08-f1f2-af89299f2461" + }, + "source": [ + "# Define the Model\n", + "model_cn_img = Sequential()\n", + "model_cn_img.add(Conv2D(32,(3,3), activation='relu', input_shape=(IMG_WIDTH, IMG_HEIGHT, 3)))\n", + "model_cn_img.add(MaxPooling2D((2,2,)))\n", + "model_cn_img.add(Conv2D(64, (3,3), activation='relu'))\n", + "model_cn_img.add(MaxPooling2D((2,2,)))\n", + "model_cn_img.add(Conv2D(64, (3,3), activation='relu'))\n", + "model_cn_img.add(Flatten())\n", + "model_cn_img.add(Dense(64, activation='relu'))\n", + "model_cn_img.add(Dense(1,activation='sigmoid'))\n", + "model_cn_img.summary()" + ], + "execution_count": 53, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Model: \"sequential_1\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d_3 (Conv2D) (None, 222, 222, 32) 896 \n", + "_________________________________________________________________\n", + "max_pooling2d_2 (MaxPooling2 (None, 111, 111, 32) 0 \n", + "_________________________________________________________________\n", + "conv2d_4 (Conv2D) (None, 109, 109, 64) 18496 \n", + "_________________________________________________________________\n", + "max_pooling2d_3 (MaxPooling2 (None, 54, 54, 64) 0 \n", + "_________________________________________________________________\n", + "conv2d_5 (Conv2D) (None, 52, 52, 64) 36928 \n", + "_________________________________________________________________\n", + "flatten_1 (Flatten) (None, 173056) 0 \n", + "_________________________________________________________________\n", + "dense_4 (Dense) (None, 64) 11075648 \n", + "_________________________________________________________________\n", + "dense_5 (Dense) (None, 1) 65 \n", + "=================================================================\n", + "Total params: 11,132,033\n", + "Trainable params: 11,132,033\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "XTe-hBP14bog", + "colab_type": "code", + "colab": {} + }, + "source": [ + "model_cn_img.compile(optimizer='adam',loss='binary_crossentropy', metrics=['accuracy'])" + ], + "execution_count": 54, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "QXdnRG3o_575", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "outputId": "6cb301de-1f9d-452d-f383-df9d32795c94" + }, + "source": [ + "train_data_gen" + ], + "execution_count": 88, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 88 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "n75wElGek2MH", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 298 + }, + "outputId": "f6b4a49d-d398-4e7f-905c-a78c0c8faae8" + }, + "source": [ + "predict(process_img_path('/content/forest_0_1572.jpg'),model)" + ], + "execution_count": 144, + "outputs": [ + { + "output_type": "stream", + "text": [ + "[[1.4508514e-05]]\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "pBOR1iwOlHDX", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 287 + }, + "outputId": "f5607514-09cf-4b52-9f54-e7909fdc6065" + }, + "source": [ + "x = train_data_gen[1][0][10]\n", + "x = np.expand_dims(x, axis=0)\n", + "plt.imshow(x[0])" + ], + "execution_count": 177, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 177 + }, + { + "output_type": "display_data", + "data": { + "image/png": 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