tensorflow:: ops:: LogSoftmax
#include <nn_ops.h>
Computes log softmax activations.
Summary
For each batch i
and class j
we have
logsoftmax[i, j] = logits[i, j] - log(sum(exp(logits[i])))
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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LogSoftmax(const ::tensorflow::Scope & scope, ::tensorflow::Input logits)
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Public attributes |
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logsoftmax
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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
logsoftmax
::tensorflow::Output logsoftmax
operation
Operation operation
Public functions
LogSoftmax
LogSoftmax( 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