tensorflow::ops::Relu

#include <nn_ops.h>

Computes rectified linear: max(features, 0).

Summary

See: https://en.wikipedia.org/wiki/Rectifier_(neural_networks) Example usage: tf.nn.relu([-2., 0., 3.]).numpy() array([0., 0., 3.], dtype=float32)

Args:

• scope: A Scope object

Returns:

• Output: The activations tensor.

Constructors and Destructors
Relu(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

Relu

 Relu(
  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