ActivationLayer Class

Activation layer.

Inheritance Hierarchy

SystemObject
  Accord.NeuroLayer
    Accord.NeuroActivationLayer
      Accord.Neuro.LayersStochasticLayer

Namespace: Accord.Neuro
Assembly: Accord.Neuro (in Accord.Neuro.dll) Version: 3.8.0

Syntax

[SerializableAttribute]
public class ActivationLayer : Layer

<SerializableAttribute>
Public Class ActivationLayer
	Inherits Layer

The ActivationLayer type exposes the following members.

Constructors

	Name	Description
	ActivationLayer	Initializes a new instance of the ActivationLayer class.

Properties

	Name	Description
	InputsCount	Layer's inputs count. (Inherited from Layer.)
	Neurons	Layer's neurons. (Inherited from Layer.)
	Output	Layer's output vector. (Inherited from Layer.)

Methods

	Name	Description
	Compute	Compute output vector of the layer. (Inherited from Layer.)
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Randomize	Randomize neurons of the layer. (Inherited from Layer.)
	SetActivationFunction	Set new activation function for all neurons of the layer.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

Fields

	Name	Description
	inputsCount	Layer's inputs count. (Inherited from Layer.)
	neurons	Layer's neurons. (Inherited from Layer.)
	neuronsCount	Layer's neurons count. (Inherited from Layer.)
	output	Layer's output vector. (Inherited from Layer.)

Extension Methods

	Name	Description
	HasMethod	Checks whether an object implements a method with the given name. (Defined by ExtensionMethods.)
	IsEqual	Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)
	To(Type)	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)
	ToT	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)

Remarks

Activation layer is a layer of activation neurons. The layer is usually used in multi-layer neural networks.