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authorGravatar Yong Tang <yong.tang.github@outlook.com>2018-08-10 04:21:54 +0000
committerGravatar Yong Tang <yong.tang.github@outlook.com>2018-08-10 04:21:54 +0000
commit6674929c07330bbbe06be03bfd4f8a011cecefc7 (patch)
tree55fbe1a462a0cbe2e017f9a4e586b73286fcf437 /tensorflow/python/layers
parent8016801c68c042482c3e58aee41fb7a15ecef42d (diff)
Fix incorrect doc in tf.layers.dense
This fix tries to address the issue raised in 21525 where the doc in tf.layers.dense is not correct. Specifically `outputs = activation(inputs.kernel + bias) Where` -> `outputs = activation(inputs * kernel + bias) where` This fix fixes 21525. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
Diffstat (limited to 'tensorflow/python/layers')
-rw-r--r--tensorflow/python/layers/core.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/python/layers/core.py b/tensorflow/python/layers/core.py
index 50a56736fc..9879e5020f 100644
--- a/tensorflow/python/layers/core.py
+++ b/tensorflow/python/layers/core.py
@@ -127,8 +127,8 @@ def dense(
"""Functional interface for the densely-connected layer.
This layer implements the operation:
- `outputs = activation(inputs.kernel + bias)`
- Where `activation` is the activation function passed as the `activation`
+ `outputs = activation(inputs * kernel + bias)`
+ where `activation` is the activation function passed as the `activation`
argument (if not `None`), `kernel` is a weights matrix created by the layer,
and `bias` is a bias vector created by the layer
(only if `use_bias` is `True`).