Interface | Description |
---|---|
DeepLearningConfigurable | |
InputPreProcessor |
Input pre processor used
for pre processing input before passing it
to the neural network.
|
Class | Description |
---|---|
ComputationGraphConfiguration |
ComputationGraphConfiguration is a configuration object for neural networks with arbitrary connection structure.
|
ComputationGraphConfiguration.GraphBuilder | |
MultiLayerConfiguration |
Configuration for a multi layer network
|
MultiLayerConfiguration.Builder | |
NeuralNetConfiguration |
A Serializable configuration
for neural nets that covers per layer parameters
|
NeuralNetConfiguration.Builder | |
NeuralNetConfiguration.ListBuilder |
Fluent interface for building a list of configurations
|
Enum | Description |
---|---|
BackpropType |
Defines the type of backpropagation.
|
GradientNormalization |
Gradient normalization strategies.
|
LearningRatePolicy |
Learning Rate Policy
How to decay learning rate during training.
|
Updater |
All the possible different updaters
|
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