Package | Description |
---|---|
org.cognity.math.functions | |
org.cognity.neural.layer | |
org.cognity.neural.net |
Modifier and Type | Interface and Description |
---|---|
interface |
ParametrizedFunction
A function parametrized by some real number.
|
Modifier and Type | Class and Description |
---|---|
class |
BipolarStep
Implements the bipolar step function.
|
class |
FastGaussian
Fast implementation of the gaussian function which is defined as:
|
class |
FastSigmoid
Implements a sigmoid function defined as follows:
|
class |
FastTanh
Fast implementation of the hyperbolic tangent function, which is defined
as follows:
exp(x) function, instead of using
standard Math.exp method. |
class |
Gaussian
Implements the gaussian function defined as:
|
class |
Identity
Implements the identity function:
|
class |
Linear
The linear function implementation.
|
class |
Sigmoid
Implements a sigmoid function defined as follows:
|
class |
Tanh
Implements the hyperbolic tangent.
|
Modifier and Type | Method and Description |
---|---|
Function |
TransferLayer.getTransferFunc()
Returns the transfer function of this layer.
|
Function |
GenericTransferLayer.getTransferFunc()
Returns the activation function of this layer.
|
Modifier and Type | Method and Description |
---|---|
void |
TransferLayer.setTransferFunc(Function function)
Sets the transfer function for this layer.
|
void |
GenericTransferLayer.setTransferFunc(Function function) |
Constructor and Description |
---|
GenericTransferLayer(int neuronCount,
Function transferFunc)
Creates a new layer with specified number of neurons and transfer
function.
|
Modifier and Type | Method and Description |
---|---|
MlpNet.Builder |
MlpNet.Builder.addCustom(int size,
Function activationFun)
Adds a layer with specified size and activation function.
|
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