ActivationNeuron Class |
Namespace: Accord.Neuro
The ActivationNeuron type exposes the following members.
Name | Description | |
---|---|---|
ActivationNeuron |
Initializes a new instance of the ActivationNeuron class.
|
Name | Description | |
---|---|---|
ActivationFunction |
Neuron's activation function.
| |
InputsCount |
Neuron's inputs count.
(Inherited from Neuron.) | |
Output |
Neuron's output value.
(Inherited from Neuron.) | |
RandGenerator |
Random number generator.
(Inherited from Neuron.) | |
Threshold |
Threshold value.
| |
Weights |
Neuron's weights.
(Inherited from Neuron.) |
Name | Description | |
---|---|---|
Compute |
Computes output value of neuron.
(Overrides NeuronCompute(Double).) | |
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 neuron.
(Overrides NeuronRandomize.) | |
ToString | Returns a string that represents the current object. (Inherited from Object.) |
Name | Description | |
---|---|---|
function |
Activation function.
| |
inputsCount |
Neuron's inputs count.
(Inherited from Neuron.) | |
output |
Neuron's output value.
(Inherited from Neuron.) | |
rand |
Random number generator.
(Inherited from Neuron.) | |
threshold |
Threshold value.
| |
weights |
Neuron's weights.
(Inherited from Neuron.) |
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 neuron computes weighted sum of its inputs, adds threshold value and then applies activation function. The neuron isusually used in multi-layer neural networks.