public final class
SoftmaxCrossEntropyWithLogits
Computes softmax cross entropy cost and gradients to backpropagate.
Inputs are the logits, not probabilities.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
backprop()
backpropagated gradients (batch_size x num_classes matrix).
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static <T extends TNumber> SoftmaxCrossEntropyWithLogits<T> | |
Output<T> |
loss()
Per example loss (batch_size vector).
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"SoftmaxCrossEntropyWithLogits"
Public Methods
public static SoftmaxCrossEntropyWithLogits<T> create (Scope scope, Operand<T> features, Operand<T> labels)
Factory method to create a class wrapping a new SoftmaxCrossEntropyWithLogits operation.
Parameters
scope | current scope |
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features | batch_size x num_classes matrix |
labels | batch_size x num_classes matrix The caller must ensure that each batch of labels represents a valid probability distribution. |
Returns
- a new instance of SoftmaxCrossEntropyWithLogits