@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.Selu extends Pointer
scale * alpha * (exp(features) - 1)
if < 0, scale * features otherwise.
To be used together with
initializer = tf.variance_scaling_initializer(factor=1.0, mode='FAN_IN').
For correct dropout, use tf.contrib.nn.alpha_dropout.
See [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515)
Arguments:
* scope: A Scope object
Returns:
* Output: The activations tensor.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
Selu(Pointer p)
Pointer cast constructor.
|
Selu(tensorflow.Scope scope,
tensorflow.Input features) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Output |
activations() |
tensorflow.Selu |
activations(tensorflow.Output activations) |
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.Selu |
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 Selu(Pointer p)
Pointer.Pointer(Pointer).public Selu(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input features)
@ByVal @Name(value="operator tensorflow::Output") public tensorflow.Output asOutput()
@ByVal @Name(value="operator tensorflow::Input") public tensorflow.Input asInput()
public tensorflow.Node node()
@ByRef public tensorflow.Operation operation()
public tensorflow.Selu operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output activations()
public tensorflow.Selu activations(tensorflow.Output activations)
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