tf.nn.selu( features, name=None )
Defined in tensorflow/python/ops/gen_nn_ops.py
.
See the guide: Neural Network > Activation Functions
Computes scaled exponential linear: scale * alpha * (exp(features) - 1)
if < 0, scale * features
otherwise.
See Self-Normalizing Neural Networks
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/selu