diff options
Diffstat (limited to 'tensorflow/examples/tutorials/mnist/mnist_with_summaries.py')
| -rw-r--r-- | tensorflow/examples/tutorials/mnist/mnist_with_summaries.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py b/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py index 9e1c0c5d6b..fc6e97387d 100644 --- a/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py +++ b/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py @@ -13,12 +13,12 @@ # limitations under the License. # ============================================================================== -"""A very simple MNIST classifer, modified to display data in TensorBoard. +"""A very simple MNIST classifier, modified to display data in TensorBoard. See extensive documentation for the original model at http://tensorflow.org/tutorials/mnist/beginners/index.md -See documentaion on the TensorBoard specific pieces at +See documentation on the TensorBoard specific pieces at http://tensorflow.org/how_tos/summaries_and_tensorboard/index.md If you modify this file, please update the exerpt in @@ -53,7 +53,7 @@ def main(_): W = tf.Variable(tf.zeros([784, 10]), name='weights') b = tf.Variable(tf.zeros([10], name='bias')) - # use a name scope to organize nodes in the graph visualizer + # Use a name scope to organize nodes in the graph visualizer with tf.name_scope('Wx_b'): y = tf.nn.softmax(tf.matmul(x, W) + b) @@ -85,7 +85,7 @@ def main(_): # Train the model, and feed in test data and record summaries every 10 steps for i in range(FLAGS.max_steps): - if i % 10 == 0: # Record summary data, and the accuracy + if i % 10 == 0: # Record summary data and the accuracy if FLAGS.fake_data: batch_xs, batch_ys = mnist.train.next_batch( 100, fake_data=FLAGS.fake_data) |