tensorflow:: ops:: Selu

#include <nn_ops.h>

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

Summary

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:

Returns:

Constructors and Destructors

Selu (const :: tensorflow::Scope & scope, :: tensorflow::Input features)

Public attributes

activations
operation

Public functions

node () const
::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Public attributes

activations 

::tensorflow::Output activations

operation 

Operation operation

Public functions

Selu 

 Selu(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input features
)

node 

::tensorflow::Node * node() const

operator::tensorflow::Input 

 operator::tensorflow::Input() const

operator::tensorflow::Output 

 operator::tensorflow::Output() const