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tensorflow::ops::Softmax

#include <nn_ops.h>

Computes softmax activations.

Summary

For each batch i and class j we have

$$softmax[i, j] = exp(logits[i, j]) / sum_j(exp(logits[i, j]))$$ 


Arguments:

  • scope: A Scope object
  • logits: 2-D with shape [batch_size, num_classes].

Returns:

  • Output: Same shape as logits.
Constructors and Destructors
Softmax(const ::tensorflow::Scope & scope, ::tensorflow::Input logits)
Public attributes
operation
softmax
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

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 

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/softmax