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Softmax

public final class Softmax

Computes softmax activations.

For each batch `i` and class `j` we have

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

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TNumber > Softmax <T>
create ( Scope scope, Operand <T> logits)
Factory method to create a class wrapping a new Softmax operation.
Output <T>
softmax ()
Same shape as `logits`.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "Softmax"

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static Softmax <T> create ( Scope scope, Operand <T> logits)

Factory method to create a class wrapping a new Softmax operation.

Parameters
scope current scope
logits 2-D with shape `[batch_size, num_classes]`.
Returns
  • a new instance of Softmax

public Output <T> softmax ()

Same shape as `logits`.