org.tensorflow.op.core

Class Relu<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.Relu<T>

Type Parameters:

T - data type for activations() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class Relu<T>
extends PrimitiveOp
implements Operand<T>

Computes rectified linear: `max(features, 0)`.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	activations()
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T> Relu<T>	create(Scope scope, Operand<T> features) Factory method to create a class to wrap a new Relu operation to the graph.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T> Relu<T> create(Scope scope,
                                 Operand<T> features)

Factory method to create a class to wrap a new Relu operation to the graph.

Parameters:

scope - current graph scope

features -

Returns:

a new instance of Relu

activations

public Output<T> activations()

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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.

Specified by:

asOutput in interface Operand<T>

See Also:

OperationBuilder.addInput(Output)