README.md

TL;DR Super awesome list of resources for people who want to learn deep learning

Deep Learning for Complete F*@king Noobs! (DL4CFN)

We have a Discord community now!! -> join today =) !

Here we go

0. Python for noobs

• Cheat sheet

1. Machine Learning overview

You generally need to learn about basics of Machine Learning before you start practicing Deep Learning

• What is machine learning - Video series
• ML vds DL
• What is Machine Learning - Comparison with X
• DanB machine learning tutorials
• High level view of ML
• One hot encoding
• Feature Engineering
• Lexical Analysis Terminologies
• Xgboost example 1
• Xgboost example 2
• Google Machine Learning Crash Course
• ML Cheatsheet with various Python examples

2. Deep Learning overview

• History of deep learning - very high level overview
• How to Make Data Amazing
• Super awesome psudo code of all important Deep Learning algorithms
• Terminologies
• What is intuition in Deep Learning?
• Deep Learning tutorials by DanB
• Deep Learning Course by Kaggle
• Backpropogation in Python from scratch
• Saving Keras model and weights
• Getting started with the Keras Sequential model
• Gradient Descent Optimization Algorithms
• Model Loss Functions in Keras

3. Statistics

• Collection of statistic fundamentals
• In-depth statistics

4. Linear Algebra

• Linear Algebra for Deep Learning cheat sheet
• Linear Algebra for Deep Learning cheat sheet 2
• In-depth

5. Calculus

• Backpropagation
• Super detailed Backpropagation

6. Maths

• Introduction to Mathematical Thinking

Convolutional Neural Network

• Friendly guide to CNN
• CNN Cat vs Dog in Keras
• Really good CNN notebook demo + Flask
• Easy to follow CNN digit recogniser tutorial
• Capsule Network
• CNN for beginners
• CNN in detail by Stanford
• CNN cifar10 implementation in TF
• CNN cifar10 implementation in TF 2
• Andrew Ng Youtube series
• CNN Striding
• Dropout
• Keras classification example
• Cat vs Dog classification tutorial
• Cat vs Dog classification Keras
• VGG paper

CNN - superresolution

• Deep learning for image denoising and superresolution
• Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

Recurrent Neural Network

• LSTM implementation tutorial
• Really good LSTM notebook demo
• RNN tutorial video by Intel

Time Series Analysis

• Overview of TSA
• Hierachical Temporal Memory

Reinforcement Learning

• Landing a SpaceX Falcon Heavy Rocket

Transfer Learning

• Transfer Learning using Keras
• Keras-VGG-Transfer-Learning
• Transfer-Learning-in-keras---custom-data

Generative Adversarial Network

• Maths behind

Chatbots

• How do chatbots work?

Sentiment Analysis

• Predict Sentiment From Movie Reviews Using Deep Learning
• LSTM + Word Embedding IMDB
• A Word2Vec Keras tutorial
• Kears Embedding Visualisation

Inspirational

• Andrew Ng interviews Ian Goodfellow
• Andrew Ng interviews Geoffrey Hinton

Bonus

• Nice ML and DL training
• DanB Kaggle Kernels
• My First Month as a Junior Data-Scientist
• How to read Maths notations

Kaggle competitions

• Titanic: Machine Learning from Disaster

Framework

1. Tensorflow

• Installing Tensorflow and Keras on Windows
• Effective TensorFlow for Non-Experts (Google I/O '17)
• TensorFlow 101 (Really Awesome Intro Into TensorFlow)

2. Keras

• Keras-GAN

3. PyTorch

• Official PyTorch Tutorial
• PyTorch Tutorial Playlist(YouTube)
• A Tiny Talk about PyTorch
• Another Talk about PyTorch

Special thanks

• Tensorflow Top to Bottom