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
.
Public attributes
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
© 2017 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/api_docs/cc/class/tensorflow/ops/softmax.html