public final class
SoftsignGrad
Computes softsign gradients for a softsign operation.
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.
|
Output<T> |
backprops()
The gradients: `gradients / (1 + abs(features)) ** 2`.
|
static <T extends TNumber> SoftsignGrad<T> |
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"SoftsignGrad"
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 SoftsignGrad<T> create (Scope scope, Operand<T> gradients, Operand<T> features)
Factory method to create a class wrapping a new SoftsignGrad operation.
Parameters
scope | current scope |
---|---|
gradients | The backpropagated gradients to the corresponding softsign operation. |
features | The features passed as input to the corresponding softsign operation. |
Returns
- a new instance of SoftsignGrad