tf.nn.crelu
tf.nn.crelu
tf.nn.crelu
crelu( features, name=None )
Defined in tensorflow/python/ops/nn_ops.py
.
See the guide: Neural Network > Activation Functions
Computes Concatenated ReLU.
Concatenates a ReLU which selects only the positive part of the activation with a ReLU which selects only the negative part of the activation. Note that as a result this non-linearity doubles the depth of the activations. Source: Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. W. Shang, et al.
Args:
-
features
: ATensor
with typefloat
,double
,int32
,int64
,uint8
,int16
, orint8
. -
name
: A name for the operation (optional).
Returns:
A Tensor
with the same type as features
.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/nn/crelu