tensorflow::ops::Softmax

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

Operation operation

::tensorflow::Output softmax

 Softmax(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input logits
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const