ActivationNetwork Class |
Namespace: Accord.Neuro
The ActivationNetwork type exposes the following members.
Name | Description | |
---|---|---|
ActivationNetwork |
Initializes a new instance of the ActivationNetwork class.
|
Name | Description | |
---|---|---|
InputsCount |
Network's inputs count.
(Inherited from Network.) | |
Layers |
Network's layers.
(Inherited from Network.) | |
Output |
Network's output vector.
(Inherited from Network.) |
Name | Description | |
---|---|---|
Compute |
Compute output vector of the network.
(Inherited from Network.) | |
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.) | |
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 layers of the network.
(Inherited from Network.) | |
Save(Stream) |
Save network to specified file.
(Inherited from Network.) | |
Save(String) |
Save network to specified file.
(Inherited from Network.) | |
SetActivationFunction |
Set new activation function for all neurons of the network.
| |
ToString | Returns a string that represents the current object. (Inherited from Object.) |
Name | Description | |
---|---|---|
inputsCount |
Network's inputs count.
(Inherited from Network.) | |
layers |
Network's layers.
(Inherited from Network.) | |
layersCount |
Network's layers count.
(Inherited from Network.) | |
output |
Network's output vector.
(Inherited from Network.) |
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.) |
Activation network is a base for multi-layer neural network with activation functions. It consists of activation layers.
Sample usage:
// create activation network ActivationNetwork network = new ActivationNetwork( new SigmoidFunction( ), // sigmoid activation function 3, // 3 inputs 4, 1 ); // 2 layers: // 4 neurons in the firs layer // 1 neuron in the second layer