remove output

Author: dsilver829

LeNet-Lab-Solution.ipynb

@@ -22,22 +22,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Extracting MNIST_data/train-images-idx3-ubyte.gz\n",
-      "Extracting MNIST_data/train-labels-idx1-ubyte.gz\n",
-      "Extracting MNIST_data/t10k-images-idx3-ubyte.gz\n",
-      "Extracting MNIST_data/t10k-labels-idx1-ubyte.gz\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from tensorflow.examples.tutorials.mnist import input_data\n",
     "\n",
@@ -59,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {
     "collapsed": true
    },
@@ -109,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {
     "collapsed": true
    },
@@ -181,7 +170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
@@ -204,7 +193,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
@@ -232,7 +221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {
     "collapsed": true
    },
@@ -266,61 +255,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Training...\n",
-      "\n",
-      "EPOCH 1 ...\n",
-      "Validation Loss     = 35.403\n",
-      "Validation Accuracy = 0.878\n",
-      "\n",
-      "EPOCH 2 ...\n",
-      "Validation Loss     = 16.436\n",
-      "Validation Accuracy = 0.920\n",
-      "\n",
-      "EPOCH 3 ...\n",
-      "Validation Loss     = 9.704\n",
-      "Validation Accuracy = 0.939\n",
-      "\n",
-      "EPOCH 4 ...\n",
-      "Validation Loss     = 6.490\n",
-      "Validation Accuracy = 0.949\n",
-      "\n",
-      "EPOCH 5 ...\n",
-      "Validation Loss     = 4.432\n",
-      "Validation Accuracy = 0.958\n",
-      "\n",
-      "EPOCH 6 ...\n",
-      "Validation Loss     = 3.353\n",
-      "Validation Accuracy = 0.962\n",
-      "\n",
-      "EPOCH 7 ...\n",
-      "Validation Loss     = 2.444\n",
-      "Validation Accuracy = 0.968\n",
-      "\n",
-      "EPOCH 8 ...\n",
-      "Validation Loss     = 1.756\n",
-      "Validation Accuracy = 0.973\n",
-      "\n",
-      "EPOCH 9 ...\n",
-      "Validation Loss     = 1.754\n",
-      "Validation Accuracy = 0.971\n",
-      "\n",
-      "EPOCH 10 ...\n",
-      "Validation Loss     = 1.169\n",
-      "Validation Accuracy = 0.978\n",
-      "\n",
-      "Model saved\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "with tf.Session() as sess:\n",
     "    sess.run(tf.global_variables_initializer())\n",
@@ -364,20 +303,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Test Loss     = 3.046\n",
-      "Test Accuracy = 0.962\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "with tf.Session() as sess:\n",
     "    loader = tf.train.import_meta_graph('lenet.meta')\n",