update MNIST test size

leejaymin · Feb 5, 2017 · 7e88944 · 7e88944
1 parent 66b971b
commit 7e88944
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Showing 4 changed files with 296 additions and 200 deletions.
diff --git a/0.1.Fundamental_Neural_Network/ex4/ex4_jemin.ipynb b/0.1.Fundamental_Neural_Network/ex4/ex4_jemin.ipynb
diff --git a/0.1.Fundamental_Neural_Network/ex4/example_fmin_cg.ipynb b/0.1.Fundamental_Neural_Network/ex4/example_fmin_cg.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "metadata": {
     "collapsed": true
    },

diff --git a/0.2.Basic/Basic Tutorial.ipynb b/0.2.Basic/Basic Tutorial.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {
     "collapsed": true
    },
@@ -22,7 +22,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "hello = tf.constant('Hello, TensorFlow!')\n",
+    "sess = tf.Session()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<tensorflow.python.client.session.Session at 0x7fb3b4b51ac8>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sess"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
@@ -36,11 +70,31 @@
     }
    ],
    "source": [
-    "hello = tf.constant('Hello, TensorFlow!')\n",
-    "sess = tf.Session()\n",
     "print(sess.run(hello))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<tf.Tensor 'Const_1:0' shape=() dtype=string>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hello"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -51,17 +105,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[array([[ 12.]], dtype=float32)]\n"
-     ]
+     "data": {
+      "text/plain": [
+       "<tf.Tensor 'MatMul:0' shape=(1, 1) dtype=float32>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -79,7 +136,25 @@
     "# The returned value, 'product', represents the result of the matrix\n",
     "# multiplication.\n",
     "product = tf.matmul(matrix1, matrix2)\n",
-    "\n",
+    "product"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[array([[ 12.]], dtype=float32)]\n"
+     ]
+    }
+   ],
+   "source": [
     "# Launch the default graph.\n",
     "sess = tf.Session()\n",
     "\n",
@@ -145,14 +220,15 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "\n",
     "## Placeholder\n",
     "\n",
     "- 추후에 값을 `feed_dict`를 이용해서 session을 실행할 때 전달 할 수 있다."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {
     "collapsed": true
    },
@@ -246,7 +322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
@@ -259,12 +335,12 @@
       "epoch 10, output: 0.47898948192596436\n",
       "epoch 20, output: 0.2867887020111084\n",
       "epoch 30, output: 0.17171096801757812\n",
-      "epoch 40, output: 0.10280969738960266\n",
-      "epoch 50, output: 0.06155595928430557\n",
-      "epoch 60, output: 0.036855824291706085\n",
-      "epoch 70, output: 0.022066941484808922\n",
-      "epoch 80, output: 0.01321229338645935\n",
-      "epoch 90, output: 0.007910688407719135\n"
+      "epoch 40, output: 0.10280970484018326\n",
+      "epoch 50, output: 0.06155596673488617\n",
+      "epoch 60, output: 0.03685583174228668\n",
+      "epoch 70, output: 0.02206694707274437\n",
+      "epoch 80, output: 0.013212298974394798\n",
+      "epoch 90, output: 0.007910690270364285\n"
      ]
     }
    ],
@@ -289,6 +365,15 @@
     "            print(\"epoch {}, output: {}\".format(i, sess.run(y)))\n",
     "        sess.run(train_step)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {