Merge pull request #82 from DVigneault/InitializationDeprecationWarning

Address deprecation warnings.

examples/3_NeuralNetworks/dynamic_rnn.py

@@ -162,7 +162,7 @@ correct_pred = tf.equal(tf.argmax(pred,1), tf.argmax(y,1))
 accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32))
 
 # Initializing the variables
-init = tf.initialize_all_variables()
+init = tf.global_variables_initializer()
 
 # Launch the graph
 with tf.Session() as sess:

examples/4_Utils/tensorboard_advanced.py

@@ -88,7 +88,7 @@ with tf.name_scope('Accuracy'):
     acc = tf.reduce_mean(tf.cast(acc, tf.float32))
 
 # Initializing the variables
-init = tf.initialize_all_variables()
+init = tf.global_variables_initializer()
 
 # Create a summary to monitor cost tensor
 tf.summary.scalar("loss", loss)

examples/4_Utils/tensorboard_basic.py

@@ -49,7 +49,7 @@ with tf.name_scope('Accuracy'):
     acc = tf.reduce_mean(tf.cast(acc, tf.float32))
 
 # Initializing the variables
-init = tf.initialize_all_variables()
+init = tf.global_variables_initializer()
 
 # Create a summary to monitor cost tensor
 tf.summary.scalar("loss", cost)

notebooks/5_MultiGPU/multigpu_basics.ipynb

@@ -175,4 +175,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}