Fixed the issue in fanshion mnist tutorial

Author: dhavalsays

DeepLearningML/1_keras_fashion_mnist_neural_net/1_keras_fashion_mnist.ipynb

@@ -38,7 +38,9 @@
   {
    "cell_type": "code",
    "execution_count": 41,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import keras\n",
@@ -72,7 +74,9 @@
   {
    "cell_type": "code",
    "execution_count": 43,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "fm = keras.datasets.fashion_mnist\n",
@@ -313,7 +317,9 @@
   {
    "cell_type": "code",
    "execution_count": 51,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from keras.models import Sequential\n",
@@ -499,6 +505,17 @@
     "np.argmax(yp[0])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "class_labels = []"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 59,