Class Sigmoid

Sigmoid takes a real value as input and outputs another value between 0 and 1. It’s easy to work with and has all the nice properties of activation functions: it’s non-linear, continuously differentiable, monotonic, and has a fixed output range.

Inheritance
System.Object
BaseLayer
Sigmoid
Inherited Members
Namespace: SiaNet.Layers.Activations
Assembly: SiaNet.dll
Syntax
public class Sigmoid : BaseLayer

Constructors

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Sigmoid()

Initializes a new instance of the Sigmoid class.

Declaration
public Sigmoid()

Methods

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Backward(Tensor)

Calculate the gradient of this layer function

Declaration
public override void Backward(Tensor outputgrad)
Parameters
Type Name Description
Tensor outputgrad

The calculated output grad from previous layer.
Overrides
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Forward(Tensor)

Forwards the inputs and compute the output

Declaration
public override void Forward(Tensor x)
Parameters
Type Name Description
Tensor x

The input tensor for this layer.
Overrides

See Also