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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2016-06-27 08:22:21 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-06-27 09:32:48 -0700
commit0ac1191097c2d2f5112fec01c43ec2831fb35212 (patch)
tree4c8f2049f3c888f0e941daaf36ca7eaffefc7e10 /tensorflow
parentc50c866fe8b3dc425f63c4fb90b36fea7bcf300d (diff)
Update generated Python Op docs.
Change: 125963660
Diffstat (limited to 'tensorflow')
-rw-r--r--tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.nn.softmax.md2
-rw-r--r--tensorflow/g3doc/api_docs/python/nn.md2
2 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.nn.softmax.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.nn.softmax.md
index cd45518b33..d1b6b63869 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.nn.softmax.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.nn.softmax.md
@@ -4,7 +4,7 @@ Computes softmax activations.
For each batch `i` and class `j` we have
- softmax[i, j] = exp(logits[i, j]) / sum(exp(logits[i]))
+ softmax[i, j] = exp(logits[i, j]) / sum_j(exp(logits[i, j]))
##### Args:
diff --git a/tensorflow/g3doc/api_docs/python/nn.md b/tensorflow/g3doc/api_docs/python/nn.md
index 630f0c4e67..c0594f7950 100644
--- a/tensorflow/g3doc/api_docs/python/nn.md
+++ b/tensorflow/g3doc/api_docs/python/nn.md
@@ -1159,7 +1159,7 @@ Computes softmax activations.
For each batch `i` and class `j` we have
- softmax[i, j] = exp(logits[i, j]) / sum(exp(logits[i]))
+ softmax[i, j] = exp(logits[i, j]) / sum_j(exp(logits[i, j]))
##### Args: