Uses of Interface
org.deeplearning4j.nn.api.Classifier

Packages that use Classifier

Package	Description
org.deeplearning4j.nn.api.layers
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.recurrent
org.deeplearning4j.nn.layers.training
org.deeplearning4j.nn.multilayer

Uses of Classifier in org.deeplearning4j.nn.api.layers

Subinterfaces of Classifier in org.deeplearning4j.nn.api.layers

Modifier and Type	Interface and Description
interface	IOutputLayer Interface for output layers (those that calculate gradients with respect to a labels array)

Uses of Classifier in org.deeplearning4j.nn.layers

Classes in org.deeplearning4j.nn.layers that implement Classifier

Modifier and Type	Class and Description
class	BaseOutputLayer<LayerConfT extends BaseOutputLayer> Output layer with different objective in co-occurrences for different objectives.
class	LossLayer LossLayer is a flexible output "layer" that performs a loss function on an input without MLP logic.
class	OutputLayer Output layer with different objective incooccurrences for different objectives.

Uses of Classifier in org.deeplearning4j.nn.layers.recurrent

Classes in org.deeplearning4j.nn.layers.recurrent that implement Classifier

Modifier and Type	Class and Description
class	RnnOutputLayer Recurrent Neural Network Output Layer. Handles calculation of gradients etc for various objective functions. Functionally the same as OutputLayer, but handles output and label reshaping automatically. Input and output activations are same as other RNN layers: 3 dimensions with shape [miniBatchSize,nIn,timeSeriesLength] and [miniBatchSize,nOut,timeSeriesLength] respectively.

Uses of Classifier in org.deeplearning4j.nn.layers.training

Classes in org.deeplearning4j.nn.layers.training that implement Classifier

Modifier and Type	Class and Description
class	CenterLossOutputLayer Center loss is similar to triplet loss except that it enforces intraclass consistency and doesn't require feed forward of multiple examples.

Uses of Classifier in org.deeplearning4j.nn.multilayer

Classes in org.deeplearning4j.nn.multilayer that implement Classifier

Modifier and Type	Class and Description
class	MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer.