Uses of Class
org.deeplearning4j.nn.conf.layers.BaseOutputLayer

Packages that use BaseOutputLayer

Package	Description
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.ocnn
org.deeplearning4j.nn.conf.serde
org.deeplearning4j.nn.layers

Uses of BaseOutputLayer in org.deeplearning4j.nn.conf.layers

Subclasses of BaseOutputLayer in org.deeplearning4j.nn.conf.layers

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.
class	OutputLayer Output layer used for training via backpropagation based on labels and a specified loss function.
class	RnnOutputLayer A version of OutputLayer for recurrent neural networks.

Uses of BaseOutputLayer in org.deeplearning4j.nn.conf.ocnn

Subclasses of BaseOutputLayer in org.deeplearning4j.nn.conf.ocnn

Modifier and Type	Class and Description
class	OCNNOutputLayer An implementation of one class neural networks from: https://arxiv.org/pdf/1802.06360.pdf The one class neural network approach is an extension of the standard output layer with a single set of weights, an activation function, and a bias to: 2 sets of weights, a learnable "r" parameter that is held static 1 traditional set of weights.

Uses of BaseOutputLayer in org.deeplearning4j.nn.conf.serde

Methods in org.deeplearning4j.nn.conf.serde with parameters of type BaseOutputLayer

Modifier and Type	Method and Description
protected void	BaseNetConfigDeserializer.handleLossBackwardCompatibility(BaseOutputLayer baseLayer, org.nd4j.shade.jackson.databind.node.ObjectNode on)

Uses of BaseOutputLayer in org.deeplearning4j.nn.layers

Classes in org.deeplearning4j.nn.layers with type parameters of type BaseOutputLayer

Modifier and Type	Class and Description
class	BaseOutputLayer<LayerConfT extends BaseOutputLayer> Output layer with different objective in co-occurrences for different objectives.