shuffle before each epoch

Author: dsilver829

LeNet-Lab-Solution.ipynb

@@ -309,6 +309,8 @@
     "## Train the Model\n",
     "Run the training data through the training pipeline to train the model.\n",
     "\n",
+    "Before each epoch, shuffle the training set.\n",
+    "\n",
     "After each epoch, measure the loss and accuracy of the validation set.\n",
     "\n",
     "Save the model after training.\n",
@@ -331,6 +333,7 @@
     "    print(\"Training...\")\n",
     "    print()\n",
     "    for i in range(EPOCHS):\n",
+    "        X_train, y_train = shuffle(X_train, y_train)\n",
     "        for offset in range(0, num_examples, BATCH_SIZE):\n",
     "            end = offset + BATCH_SIZE\n",
     "            batch_x, batch_y = X_train[offset:end], y_train[offset:end]\n",

LeNet-Lab.ipynb

@@ -286,6 +286,8 @@
     "## Train the Model\n",
     "Run the training data through the training pipeline to train the model.\n",
     "\n",
+    "Before each epoch, shuffle the training set.\n",
+    "\n",
     "After each epoch, measure the loss and accuracy of the validation set.\n",
     "\n",
     "Save the model after training.\n",
@@ -308,6 +310,7 @@
     "    print(\"Training...\")\n",
     "    print()\n",
     "    for i in range(EPOCHS):\n",
+    "        X_train, y_train = shuffle(X_train, y_train)\n",
     "        for offset in range(0, num_examples, BATCH_SIZE):\n",
     "            end = offset + BATCH_SIZE\n",
     "            batch_x, batch_y = X_train[offset:end], y_train[offset:end]\n",