Modified CNN Assignment codes

Author: AdityaNikhil

Labs/Week_3/CNN/Assignment.ipynb

@@ -138,7 +138,7 @@
    "outputs": [],
    "source": [
     "# Load the data into training and testing sets\n",
-    "x_train, y_train, x_test, y_test = load_data()"
+    "x_train, y_train, x_test, y_test = load_data(data_dir='students/<your_username>')"
    ]
   },
   {

Labs/Week_3/CNN/helpers/methods.py

@@ -22,8 +22,8 @@ def detect_and_set_device():
     return 'CPU'
 
 # Loads the Fashion MNIST dataset
-def load_data():
-    data_dir = 'data'
+def load_data(data_dir: str):
+    data_dir = data_dir
     files = [
         'train-images-idx3-ubyte.gz',
         'train-labels-idx1-ubyte.gz',

Labs/Week_3/CNN/tests/test_methods.py

@@ -2,7 +2,6 @@
 import numpy as np
 import pytest
 
-@pytest.fixture
 def test_preprocess_data(x_train_processed, y_train_processed, x_test_processed, y_test_processed):
     # Check normalization
     assert np.max(x_train_processed) <= 1.0 and np.min(x_train_processed) >= 0.0, "Training data should be normalized"