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