DeepNeuralNetworkLearning Class

Deep Neural Network learning algorithm.

Inheritance Hierarchy

SystemObject
Accord.Neuro.LearningDeepNeuralNetworkLearning

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

Syntax

public class DeepNeuralNetworkLearning : ISupervisedLearning

Public Class DeepNeuralNetworkLearning
	Implements ISupervisedLearning

The DeepNeuralNetworkLearning type exposes the following members.

Constructors

	Name	Description
	DeepNeuralNetworkLearning	Creates a new DeepBeliefNetworkLearning algorithm.

Properties

	Name	Description
	Algorithm	Gets or sets the configuration function used to specify and create the learning algorithms for each of the layers of the deep network.
	LayerCount	Gets or sets the number of layers, starting at LayerIndex to be trained by the deep learning algorithm.
	LayerIndex	Gets or sets the current layer index being trained by the deep learning algorithm.

Methods

	Name	Description
	ComputeError	Computes the reconstruction error for a given set of input values.
	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.)
	GetLayerInput(Double)	Gets the learning data needed to train the currently selected layer. The return of this function should then be passed to RunEpoch(Double, Double) to actually run a learning epoch.
	GetLayerInput(Double)	Gets the learning data needed to train the currently selected layer. The return of this function should then be passed to RunEpoch(Double, Double) to actually run a learning epoch.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Run	Runs a single learning iteration.
	RunEpoch(Double, Double)	Runs a single batch epoch of the learning algorithm.
	RunEpoch(Double, Double)	Runs a single learning epoch using multiple mini-batches to improve speed.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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.)