@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.SoftmaxCrossEntropyWithLogits extends Pointer
Output loss: Per example loss (batch_size vector).
* Output backprop: backpropagated gradients (batch_size x num_classes matrix).Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
SoftmaxCrossEntropyWithLogits(Pointer p)
Pointer cast constructor.
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SoftmaxCrossEntropyWithLogits(tensorflow.Scope scope,
tensorflow.Input features,
tensorflow.Input labels) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Output |
backprop() |
tensorflow.SoftmaxCrossEntropyWithLogits |
backprop(tensorflow.Output backprop) |
tensorflow.Output |
loss() |
tensorflow.SoftmaxCrossEntropyWithLogits |
loss(tensorflow.Output loss) |
tensorflow.Operation |
operation() |
tensorflow.SoftmaxCrossEntropyWithLogits |
operation(tensorflow.Operation operation) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic SoftmaxCrossEntropyWithLogits(Pointer p)
Pointer.Pointer(Pointer).public SoftmaxCrossEntropyWithLogits(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input features, @ByVal tensorflow.Input labels)
@ByRef public tensorflow.Operation operation()
public tensorflow.SoftmaxCrossEntropyWithLogits operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output loss()
public tensorflow.SoftmaxCrossEntropyWithLogits loss(tensorflow.Output loss)
@ByRef public tensorflow.Output backprop()
public tensorflow.SoftmaxCrossEntropyWithLogits backprop(tensorflow.Output backprop)
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