Added food aug

Author: amitkaps

.gitignore

@@ -1,7 +1,7 @@
 # Ignore these files
 /data
 /logs
-
+__MACOSX
 
 # Created by https://www.gitignore.io/api/macos,python,jupyternotebook
 
@@ -139,4 +139,4 @@ venv.bak/
 .mypy_cache/
 
 
-# End of https://www.gitignore.io/api/macos,python,jupyternotebook
+# End of https://www.gitignore.io/api/macos,python,jupyternotebook

002-MLP-Fashion.ipynb renamed to 002-MLP-Fashion-Copy1.ipynb

@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 1,
    "metadata": {
     "colab": {
      "autoexec": {
@@ -42,7 +42,15 @@
     "id": "JGQqwCPRZheX",
     "outputId": "5946c5b4-c22b-4cd0-c30a-1377e3d0140d"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using TensorFlow backend.\n"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "import keras\n",
@@ -62,17 +70,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading data from http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz\n",
+      "32768/29515 [=================================] - 0s 2us/step\n",
+      "Downloading data from http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz\n",
+      "26427392/26421880 [==============================] - 5s 0us/step\n",
+      "Downloading data from http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz\n",
+      "8192/5148 [===============================================] - 0s 0us/step\n",
+      "Downloading data from http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz\n",
+      "4423680/4422102 [==============================] - 6s 1us/step\n"
+     ]
+    }
+   ],
    "source": [
     "from keras.datasets import fashion_mnist\n",
     "(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -124,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,7 +156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -152,7 +175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +192,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1, 28, 28, 1)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x_train_conv[:1].shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -178,7 +221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -187,7 +230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -4165,7 +4208,7 @@
        "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
       ]
      },
-     "execution_count": 105,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -21013,7 +21056,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,