Softmax

tensorflow C++ API

tensorflow::ops::Softmax

Computes softmax activations.

Summary

tensorflow::ops::Softmax Class Reference | TensorFlow

For each batch i and class j we havesoftmax[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.

Softmax block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_nn.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
• Input logits: connect Input node.

Return:

• Output softmax: Output object of Softmax class object.

Result:

• std::vector(Tensor) result_softmax : Returned object of executed result by calling session.

Using Method