tensorflow:: ops:: Elu

#include <nn_ops.h>

Computes the exponential linear function.

Summary

The ELU function is defined as:

• $e ^ x - 1$ if $x < 0$
• $x$ if $x >= 0$

Examples:

tf.nn.elu(1.0) tf.nn.elu(0.0) tf.nn.elu(-1000.0)

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

Args:

• 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