Package | Description |
---|---|
org.cognity.neural.init | |
org.cognity.neural.io | |
org.cognity.neural.net | |
org.cognity.neural.train |
Modifier and Type | Method and Description |
---|---|
void |
NeuralNetInitializer.init(NeuralNet net)
Initializes specified network.
|
void |
UniformInitializer.init(NeuralNet net) |
Modifier and Type | Method and Description |
---|---|
static NeuralNet |
NeuralNetIO.read(File file) |
static NeuralNet |
NeuralNetIO.read(String path) |
Modifier and Type | Method and Description |
---|---|
static void |
NeuralNetIO.write(File file,
NeuralNet network) |
static void |
NeuralNetIO.write(String path,
NeuralNet network) |
Modifier and Type | Interface and Description |
---|---|
interface |
NeuralNetBuilder<E extends NeuralNet>
Interface for a neural network builder.
|
Modifier and Type | Interface and Description |
---|---|
interface |
FeedforwardNet
A feedforward neural network is a neural network where connections between
the units do not form a directed cycle.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractFeedforwardNet
This class implements a feedforward neural network.
|
class |
AbstractNeuralNet
Base class for all neural networks.
|
class |
MlpNet
The implementation of a multilayer perceptron.
|
Modifier and Type | Method and Description |
---|---|
NeuralNet |
TrainingRule.getNetwork()
Returns a network trained by this rule.
|
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