Class ActivationFunction2D

Namespace

NeuralNetworks.Operations.ActivationFunctions

Assembly

NeuralNetworks.dll

Defines an abstract 2D activation function operation applied element-wise to two-dimensional data.

public abstract class ActivationFunction2D : Operation2D

Inheritance

object

Operation

Operation<float[,], float[,]>

Operation2D

ActivationFunction2D

Derived

BipolarSigmoid

LeakyReLU2D

Linear

ReLU2D

Sigmoid

Softplus

Tanh2D

Inherited Members

Operation2D.EnsureSameShapeForInput(float[,], float[,])

Operation2D.EnsureSameShapeForOutput(float[,], float[,])

Operation<float[,], float[,]>.Input

Operation<float[,], float[,]>.Output

Operation<float[,], float[,]>.Forward(float[,], bool)

Operation<float[,], float[,]>.Backward(float[,])

Operation<float[,], float[,]>.EnsureSameShapeForInput(float[,], float[,])

Operation<float[,], float[,]>.EnsureSameShapeForOutput(float[,], float[,])

Operation<float[,], float[,]>.CalcOutput(bool)

Operation<float[,], float[,]>.CalcInputGradient(float[,])

Operation<float[,], float[,]>.Forward(object, bool)

Operation<float[,], float[,]>.Backward(object)

Operation<float[,], float[,]>.GetOutputType()

Operation<float[,], float[,]>.GetInputType()

Operation<float[,], float[,]>.CloneBase()

Operation<float[,], float[,]>.Clone()

Operation.SetRegistered()

Operation.GetOutputType()

Operation.GetInputType()

Operation.Forward(object, bool)

Operation.Backward(object)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Remarks

Activation functions introduce non-linearity into neural network computations. This base class specifies the contract for operations that transform 2D tensors (e.g., matrices or 2D feature maps), and are typically used in layers processing spatial data without an explicit channel dimension. Concrete implementations should provide the forward activation and, where applicable, support gradient computation for backpropagation by deriving from Operation2D.