Uses of Interface
org.episteme.core.mathematics.ml.neural.Layer

Packages that use Layer

Package	Description
org.episteme.core.mathematics.loaders
org.episteme.core.mathematics.ml.neural
org.episteme.core.mathematics.ml.neural.layers
org.episteme.natural.computing.ml

Uses of Layer in org.episteme.core.mathematics.loaders

Subclasses with type arguments of type Layer in org.episteme.core.mathematics.loaders

Modifier and Type	Class	Description
class	BinaryModelLoader	Loader/Serializer for Neural Network models using Java Binary Serialization.
class	NeuralModelWriter

Methods in org.episteme.core.mathematics.loaders that return Layer

Modifier and Type	Method	Description
Layer<?>	NeuralModelReader.load(Path path)
protected Layer<?>	BinaryModelLoader.loadFromSource(String id)

Methods in org.episteme.core.mathematics.loaders that return types with arguments of type Layer

Modifier and Type	Method	Description
Class<Layer<?>>	BinaryModelLoader.getResourceType()
Class<Layer<?>>	NeuralModelWriter.getResourceType()

Methods in org.episteme.core.mathematics.loaders with parameters of type Layer

Modifier and Type	Method	Description
void	BinaryModelLoader.save(Layer<?> model, Path path)	Saves a layer (or model) to a binary file.
void	NeuralModelWriter.save(Layer<?> resource, String id)
void	NeuralModelWriter.save(Layer<?> layer, Path path)	Saves the layer's parameters to a JSON file.
String	NeuralModelWriter.toJson(Layer<?> layer)	Serializes layer architecture and parameters to a JSON String.

Uses of Layer in org.episteme.core.mathematics.ml.neural

Methods in org.episteme.core.mathematics.ml.neural that return types with arguments of type Layer

Modifier and Type	Method	Description
List<Layer<T>>	ComputationGraph.getLayers()	Returns the list of layers.

Methods in org.episteme.core.mathematics.ml.neural with parameters of type Layer

Modifier and Type	Method	Description
ComputationGraph<T>	ComputationGraph.add(Layer<T> layer)	Adds a layer to the network.

Uses of Layer in org.episteme.core.mathematics.ml.neural.layers

Classes in org.episteme.core.mathematics.ml.neural.layers that implement Layer

Modifier and Type	Class	Description
class	ActivationLayer<T>	Generic activation layer that applies a specified ActivationFunction.
class	Linear<T>	Fully connected (linear) layer.
class	ReLU<T>	Rectified Linear Unit (ReLU) activation layer.
class	Sequential<T>	Container for sequential execution of layers.

Methods in org.episteme.core.mathematics.ml.neural.layers with parameters of type Layer

Modifier and Type	Method	Description
void	Sequential.add(Layer<T> layer)

Uses of Layer in org.episteme.natural.computing.ml

Methods in org.episteme.natural.computing.ml that return types with arguments of type Layer

Modifier and Type	Method	Description
List<Layer<?>>	NeuralNetworkModel.getLayers()

Methods in org.episteme.natural.computing.ml with parameters of type Layer

Modifier and Type	Method	Description
void	NeuralNetworkModel.addLayer(Layer<?> layer)