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tf.raw_ops.Selu

Computes scaled exponential linear: scale * alpha * (exp(features) - 1)

if < 0, scale * features otherwise.

To be used together with initializer = tf.variance_scaling_initializer(factor=1.0, mode='FAN_IN'). For correct dropout, use tf.contrib.nn.alpha_dropout.

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.

© 2020 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/versions/r2.4/api_docs/python/tf/raw_ops/Selu