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DeepBeliefNetworkLearning Class |
Deep Belief Network learning algorithm.
Inheritance HierarchySystemObject
Accord.Neuro.LearningDeepBeliefNetworkLearning
Accord.Neuro.LearningDeepBeliefNetworkLearning
Namespace: Accord.Neuro.Learning
Assembly: Accord.Neuro (in Accord.Neuro.dll) Version: 3.8.0
SyntaxThe DeepBeliefNetworkLearning type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | DeepBeliefNetworkLearning |
Creates a new DeepBeliefNetworkLearning algorithm.
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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.
|
| 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.) |
| GetLayerAlgorithm |
Gets the unsupervised
learning algorithm allocated for the given layer.
|
| 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) 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) 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) |
Runs a single batch epoch
of the learning algorithm.
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| RunEpoch(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.) |
See Also