|
Accord.Neuro.Learning Namespace |
Contains neural network learning algorithms such as the Levenberg-Marquardt (LM) with Bayesian Regularization and the Resilient Backpropagation (RProp) for multi-layer networks. This namespace extends the AForge.Neuro namespace of the AForge.NET project.
Classes| Class | Description | |
|---|---|---|
 | BackPropagationLearning |
Back propagation learning algorithm.
|
| ContrastiveDivergenceLearning |
Contrastive Divergence learning algorithm for Restricted Boltzmann Machines.
|
| DeepBeliefNetworkLearning |
Deep Belief Network learning algorithm.
|
| DeepNeuralNetworkLearning |
Deep Neural Network learning algorithm.
|
| DeltaRuleLearning |
Delta rule learning algorithm.
|
| ElasticNetworkLearning |
Elastic network learning algorithm.
|
| EvolutionaryLearning |
Neural networks' evolutionary learning algorithm, which is based on Genetic Algorithms.
|
| LevenbergMarquardtLearning |
Levenberg-Marquardt Learning Algorithm with optional Bayesian Regularization.
|
 | ParallelResilientBackpropagationLearning |
Resilient Backpropagation learning algorithm.
|
| PerceptronLearning |
Perceptron learning algorithm.
|
| ResilientBackpropagationLearning |
Resilient Backpropagation learning algorithm.
|
| SOMLearning |
Kohonen Self Organizing Map (SOM) learning algorithm.
|
Interfaces| Interface | Description | |
|---|---|---|
 | ISupervisedLearning |
Supervised learning interface.
|
| IUnsupervisedLearning |
Unsupervised learning interface.
|
Delegates| Delegate | Description | |
|---|---|---|
 | ActivationNetworkLearningConfigurationFunction |
Delegate used to configure and create layer-specific learning algorithms.
|
| RestrictedBoltzmannNetworkLearningConfigurationFunction |
Delegate used to configure and create layer-specific learning algorithms.
|
Enumerations| Enumeration | Description | |
|---|---|---|
 | JacobianMethod |
The Jacobian computation method used by the Levenberg-Marquardt.
|