r1.2 이니셜커밋

최신 버전(r1.2)
Jpub · Jun 26, 2017 · 78a6f19 · 78a6f19
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Showing 17 changed files with 22 additions and 22 deletions.
diff --git a/Chapter01/Least squares example.ipynb b/Chapter01/Least squares example.ipynb
@@ -144,7 +144,7 @@
    "outputs": [],
    "source": [
     "sess = tf.Session()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter02/Comparing accuracy for training and test sets.ipynb b/Chapter02/Comparing accuracy for training and test sets.ipynb
@@ -124,7 +124,7 @@
    "outputs": [],
    "source": [
     "sess = tf.Session()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter02/MNIST softmax estimation.ipynb b/Chapter02/MNIST softmax estimation.ipynb
@@ -129,7 +129,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter02/Maximum likelihood estimation example.ipynb b/Chapter02/Maximum likelihood estimation example.ipynb
@@ -440,7 +440,7 @@
    "outputs": [],
    "source": [
     "sess = tf.Session()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter03/Double layer network example.ipynb b/Chapter03/Double layer network example.ipynb
@@ -146,7 +146,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter03/MNIST single layer network with TensorBoard.ipynb b/Chapter03/MNIST single layer network with TensorBoard.ipynb
@@ -113,7 +113,7 @@
     "            \n",
     "    def prepare_session(self):\n",
     "        sess = tf.InteractiveSession()\n",
-    "        sess.run(tf.initialize_all_variables())\n",
+    "        sess.run(tf.global_variables_initializer())\n",
     "        summary = tf.summary.merge_all()\n",
     "        writer = tf.summary.FileWriter(\"/tmp/mnist_sl_logs\", sess.graph)\n",
     "        \n",

diff --git a/Chapter03/MNIST single layer network.ipynb b/Chapter03/MNIST single layer network.ipynb
@@ -119,7 +119,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter03/Single layer network example.ipynb b/Chapter03/Single layer network example.ipynb
@@ -142,7 +142,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter04/MNIST dynamic filter classification with TensorBoard.ipynb b/Chapter04/MNIST dynamic filter classification with TensorBoard.ipynb
@@ -119,9 +119,9 @@
     "            accuracy = tf.reduce_mean(tf.cast(correct_prediction,\n",
     "                                              tf.float32), name='accuracy')\n",
     "            \n",
-    "        tf.scalar_summary(\"loss\", loss)\n",
-    "        tf.scalar_summary(\"accuracy\", accuracy)\n",
-    "        tf.histogram_summary(\"convolution_filters\", W_conv)\n",
+    "        tf.summary.scalar(\"loss\", loss)\n",
+    "        tf.summary.scalar(\"accuracy\", accuracy)\n",
+    "        tf.summary.histogram(\"convolution_filters\", W_conv)\n",
     "        \n",
     "        self.x, self.t, self.p = x, t, p\n",
     "        self.train_step = train_step\n",
@@ -130,9 +130,9 @@
     "        \n",
     "    def prepare_session(self):\n",
     "        sess = tf.InteractiveSession()\n",
-    "        sess.run(tf.initialize_all_variables())\n",
-    "        summary = tf.merge_all_summaries()\n",
-    "        writer = tf.train.SummaryWriter(\"/tmp/mnist_df_logs\", sess.graph)\n",
+    "        sess.run(tf.global_variables_initializer())\n",
+    "        summary = tf.summary.merge_all()\n",
+    "        writer = tf.summary.FileWriter(\"/tmp/mnist_df_logs\", sess.graph)\n",
     "        \n",
     "        self.sess = sess\n",
     "        self.summary = summary\n",

diff --git a/Chapter04/MNIST dynamic filter classification.ipynb b/Chapter04/MNIST dynamic filter classification.ipynb
@@ -149,7 +149,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())\n",
+    "sess.run(tf.global_variables_initializer())\n",
     "saver = tf.train.Saver()"
    ]
   },

diff --git a/Chapter04/MNIST dynamic filter result.ipynb b/Chapter04/MNIST dynamic filter result.ipynb
@@ -145,7 +145,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())\n",
+    "sess.run(tf.global_variables_initializer())\n",
     "saver = tf.train.Saver()\n",
     "saver.restore(sess, 'mdc_session-4000')"
    ]

diff --git a/Chapter04/ORENIST classification example.ipynb b/Chapter04/ORENIST classification example.ipynb
@@ -174,7 +174,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter04/ORENIST dynamic filter example.ipynb b/Chapter04/ORENIST dynamic filter example.ipynb
@@ -138,7 +138,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter04/ORENIST filter example.ipynb b/Chapter04/ORENIST filter example.ipynb
@@ -156,7 +156,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())"
+    "sess.run(tf.global_variables_initializer())"
    ]
   },
   {

diff --git a/Chapter05/Handwriting recognizer.ipynb b/Chapter05/Handwriting recognizer.ipynb
@@ -131,7 +131,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())\n",
+    "sess.run(tf.global_variables_initializer())\n",
     "saver = tf.train.Saver()\n",
     "saver.restore(sess, 'cnn_session-20000')"
    ]

diff --git a/Chapter05/MNIST double layer CNN classification.ipynb b/Chapter05/MNIST double layer CNN classification.ipynb
@@ -185,7 +185,7 @@
    "outputs": [],
    "source": [
     "sess = tf.InteractiveSession()\n",
-    "sess.run(tf.initialize_all_variables())\n",
+    "sess.run(tf.global_variables_initializer())\n",
     "saver = tf.train.Saver()"
    ]
   },

diff --git a/README.md b/README.md
@@ -1,6 +1,6 @@
 # jupyter_tfbook
 
 Jupyter Notebooks for TensorFlow Book
-(Suitable for tensorflow r0.x)
+(Suitable for tensorflow r1.2)
 
 Disclaimer: This is not an official Google product