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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:

Returns:

Constructors and Destructors

Relu (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

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