tf.nn.elu( features, name=None )
Defined in tensorflow/python/ops/gen_nn_ops.py
.
See the guide: Neural Network > Activation Functions
Computes exponential linear: exp(features) - 1
if < 0, features
otherwise.
See Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
features
: A Tensor
. Must be one of the following types: half
, bfloat16
, float32
, float64
.name
: A name for the operation (optional).A Tensor
. Has the same type as features
.
© 2018 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/elu