| Class | Description |
|---|---|
| ActivationLayer |
Activation Layer
Used to apply activation on input and corresponding derivative on epsilon.
|
| ActivationLayerTest | |
| BaseLayer<LayerConfT extends Layer> |
A layer with a bias
and activation function
|
| BaseLayerTest |
Created by nyghtowl on 11/15/15.
|
| BaseOutputLayer<LayerConfT extends BaseOutputLayer> |
Output layer with different objective
in co-occurrences for different objectives.
|
| BasePretrainNetwork<LayerConfT extends BasePretrainNetwork> |
Baseline class for any Neural Network used
as a layer in a deep network *
|
| CenterLossOutputLayerTest |
Test CenterLossOutputLayer.
|
| DropoutLayer |
Created by davekale on 12/7/16.
|
| DropoutLayerTest | |
| FrozenLayer<LayerT extends Layer> |
For purposes of transfer learning
A frozen layers wraps another dl4j layer within it.
|
| FrozenLayerTest |
Created by susaneraly on 2/5/17.
|
| LossLayer |
LossLayer is a flexible output "layer" that performs a loss function on
an input without MLP logic.
|
| OutputLayer |
Output layer with different objective
incooccurrences for different objectives.
|
| OutputLayerTest |
Created by agibsonccc on 9/1/14.
|
| SeedTest | |
| TestDropout |