Computes the gradient of the sigmoid of `x` wrt its input.
Specifically, `grad = dy * y * (1 - y)`, where `y = sigmoid(x)`, and `dy` is the corresponding input gradient.
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. | 
| static <T extends TType> SigmoidGrad<T> | |
| Output<T> | 
z()
                
               | 
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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 SigmoidGrad<T> create (Scope scope, Operand<T> y, Operand<T> dy)
Factory method to create a class wrapping a new SigmoidGrad operation.
Parameters
| scope | current scope | 
|---|
Returns
- a new instance of SigmoidGrad