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tf.nn.selu

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

Args:

  • features: A Tensor. Must be one of the following types: half, bfloat16, float32, float64.
  • name: A name for the operation (optional).

Returns:

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