images for assign 2

Author: mGalarnyk

.DS_Store

@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 22,
    "metadata": {
     "cellView": "both",
     "colab": {
@@ -56,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 23,
    "metadata": {
     "cellView": "both",
     "colab": {
@@ -133,7 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 24,
    "metadata": {
     "cellView": "both",
     "colab": {
@@ -196,6 +196,50 @@
     "print('Test set', test_dataset.shape, test_labels.shape)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(200000, 784)"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.shape(train_dataset.reshape((-1, 28*28)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 0.,  1.], dtype=float32)"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.unique(train_labels)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {