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DeepBeliefNetwork Methods

The DeepBeliefNetwork type exposes the following members.

Methods
  NameDescription
Public methodCompute(Double)
Computes the network's outputs for a given input.
(Overrides NetworkCompute(Double).)
Public methodCompute(Double, Int32)
Computes the network's outputs for a given input.
Public methodStatic memberCreateGaussianBernoulli
Creates a Gaussian-Bernoulli network.
Public methodStatic memberCreateMixedNetwork
Creates a Mixed-Bernoulli network.
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGenerateInput
Samples an input vector from the network given an output vector.
Public methodGenerateOutput(Double)
Samples an output vector from the network given an input vector.
Public methodGenerateOutput(Double, Int32)
Samples an output vector from the network given an input vector.
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodStatic memberLoad(Stream)
Loads a network from a stream.
Public methodStatic memberLoad(String)
Loads a network from a file.
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodPop
Removes the last layer from the network.
Public methodPush(Int32)
Inserts a new layer at the end of this network.
Public methodPush(RestrictedBoltzmannMachine)
Stacks a new Boltzmann Machine at the end of this network.
Public methodPush(Int32, IStochasticFunction)
Inserts a new layer at the end of this network.
Public methodPush(Int32, IStochasticFunction, IStochasticFunction)
Inserts a new layer at the end of this network.
Public methodRandomize
Randomize layers of the network.
(Inherited from Network.)
Public methodReconstruct(Double)
Reconstructs a input vector for a given output.
Public methodReconstruct(Double, Int32)
Reconstructs a input vector using the output vector of a given layer.
Public methodSave(Stream)
Saves the network to a stream.
Public methodSave(String)
Saves the network to a stream.
Public methodSetActivationFunction
Set new activation function for all neurons of the network.
(Inherited from ActivationNetwork.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodUpdateVisibleWeights
Updates the weights of the visible layers by copying the reverse of the weights in the hidden layers.
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodTo(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.)
Public Extension MethodToTOverloaded.
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.)
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See Also