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| author |  Illia Polosukhin <ipolosukhin@google.com> | 2016-11-03 14:46:06 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-11-03 16:09:01 -0700 |
| commit | cbd3cacfb73bbea912b9d01c2540187684f751a7 (patch) | |
| tree | c2c22af2d05583491b1370dcabdb2e83cb61e2ee /tensorflow/g3doc/tutorials/mnist/pros/index.md | |
| parent | 703fce57eaae725c4ae4b0bd23629c4f04a9de16 (diff) | |
Replace usages initialize_all_variables -> global_variables_initializer
Change: 138128703
Diffstat (limited to 'tensorflow/g3doc/tutorials/mnist/pros/index.md')
| -rw-r--r-- | tensorflow/g3doc/tutorials/mnist/pros/index.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/g3doc/tutorials/mnist/pros/index.md b/tensorflow/g3doc/tutorials/mnist/pros/index.md index 6237d7e048..db267d0221 100644 --- a/tensorflow/g3doc/tutorials/mnist/pros/index.md +++ b/tensorflow/g3doc/tutorials/mnist/pros/index.md @@ -154,7 +154,7 @@ zeros) that have already been specified, and assigns them to each `Variable`. This can be done for all `Variables` at once: ```python -sess.run(tf.initialize_all_variables()) +sess.run(tf.global_variables_initializer()) ``` ### Predicted Class and Loss Function @@ -398,7 +398,7 @@ cross_entropy = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(y_conv, y train_step = tf.train.AdamOptimizer(1e-4).minimize(cross_entropy) correct_prediction = tf.equal(tf.argmax(y_conv,1), tf.argmax(y_,1)) accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32)) -sess.run(tf.initialize_all_variables()) +sess.run(tf.global_variables_initializer()) for i in range(20000): batch = mnist.train.next_batch(50) if i%100 == 0: |