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) 
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 | 
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Elu(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
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