tensorflow:: ops:: Softmax
#include <nn_ops.h>
Computes softmax activations.
Summary
For each batch i
and class j
we have
$$softmax[i, j] = exp(logits[i, j]) / sum_j(exp(logits[i, j]))$$
Args:
- scope: A Scope object
- logits: 2-D with shape
[batch_size, num_classes]
.
Returns:
Output
: Same shape aslogits
.
Constructors and Destructors |
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Softmax(const ::tensorflow::Scope & scope, ::tensorflow::Input logits)
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Public attributes |
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operation
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softmax
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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
operation
Operation operation
softmax
::tensorflow::Output softmax
Public functions
Softmax
Softmax( const ::tensorflow::Scope & scope, ::tensorflow::Input logits )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const