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Fix *_cross_entropy_with_logits calls #864

merged 6 commits into from Jan 8, 2017
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Fix xent call in mnist tutorial code

Fixes #857.
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martinwicke committed Jan 8, 2017
commit e93ec37201f5f2116933ae96e505f409ddbf344d
@@ -228,7 +228,7 @@ def model(data, train=False):
# Training computation: logits + cross-entropy loss.
logits = model(train_data_node, True)
loss = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(
logits, train_labels_node))
labels=train_labels_node, logits=logits))
# L2 regularization for the fully connected parameters.
regularizers = (tf.nn.l2_loss(fc1_weights) + tf.nn.l2_loss(fc1_biases) +
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