Uses of Interface
org.deeplearning4j.nn.api.layers.IOutputLayer

Packages that use IOutputLayer

Package	Description
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.recurrent

Uses of IOutputLayer in org.deeplearning4j.nn.layers

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

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 IOutputLayer in org.deeplearning4j.nn.layers.recurrent

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

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.