tensorflow::ops::Elu

#include <nn_ops.h>

Computes exponential linear: exp(features) - 1 if < 0, features otherwise.

Summary

See Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Arguments:

• scope: A Scope object

Returns:

• Output: The activations tensor.

Constructors and Destructors
Elu(const ::tensorflow::Scope & scope, ::tensorflow::Input features)

Public attributes
activations	::tensorflow::Output
operation	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

Elu

 Elu(
  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