| Interface | Description |
|---|---|
| NeuralNetwork |
Single layer neural network, this is typically one that has
the objective function of reconstruction the input: also called feature detectors
|
| Persistable |
| Class | Description |
|---|---|
| BaseMultiLayerNetwork |
A base class for a multi layer neural network with a logistic output layer
and multiple hidden layers.
|
| BaseMultiLayerNetwork.Builder<E extends BaseMultiLayerNetwork> | |
| BaseNeuralNetwork |
Baseline class for any Neural Network used
as a layer in a deep network such as an
DBN |
| BaseNeuralNetwork.Builder<E extends BaseNeuralNetwork> | |
| HiddenLayer |
Vectorized Hidden Layer
|
| HiddenLayer.Builder | |
| LogisticRegression |
Logistic regression implementation with jblas.
|
| LogisticRegression.Builder | |
| RectifiedLinearHiddenLayer |
Rectified linear hidden units vs binomial sampled ones
|
| RectifiedLinearHiddenLayer.Builder |
| Enum | Description |
|---|---|
| NeuralNetwork.LossFunction |
Which loss function to use
|
| NeuralNetwork.OptimizationAlgorithm |
Optimization algorithm to use
|
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