tensorflow:: ops:: Relu
#include <nn_ops.h>
Computes rectified linear: max(features, 0)
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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 |
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Relu(const ::tensorflow::Scope & scope, ::tensorflow::Input features)
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Public attributes |
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activations
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operation
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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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