tensorflow:: ops:: Softmax

Computes softmax activations.

Summary

For each batch i and class j we have

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

Args:

• 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

Public functions

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

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const