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StochasticLayer Class |
Stochastic Activation Layer.
Inheritance HierarchyNamespace: Accord.Neuro.Layers
Assembly: Accord.Neuro (in Accord.Neuro.dll) Version: 3.8.0
SyntaxThe StochasticLayer type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | StochasticLayer(Int32, Int32) |
Initializes a new instance of the StochasticLayer class.
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| StochasticLayer(IStochasticFunction, Int32, Int32) |
Initializes a new instance of the StochasticLayer class.
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Properties| Name | Description | |
|---|---|---|
 | InputsCount |
Layer's inputs count.
(Inherited from Layer.) |
| Neurons |
Gets the layer's neurons.
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| Output |
Layer's output vector.
(Inherited from Layer.) |
| Sample |
Gets the layer's sample values generated in the last
call of any of the Generate(Double) methods.
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Methods| Name | Description | |
|---|---|---|
| Compute |
Compute output vector of the layer.
(Overrides LayerCompute(Double).) |
| CopyReversedWeightsFrom |
Copy the weights of another layer in reversed order. This
can be used to update visible layers from hidden layers and
vice-versa.
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| 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.) |
| Generate |
Compute probability vector of the layer.
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| 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.
(Inherited from ActivationLayer.) |
| 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
This class represents a layer of stochastic neurons.
See Also