Uses of Class
org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder

Packages that use MultiLayerConfiguration.Builder

Package	Description
org.deeplearning4j.nn.conf

Uses of MultiLayerConfiguration.Builder in org.deeplearning4j.nn.conf

Subclasses of MultiLayerConfiguration.Builder in org.deeplearning4j.nn.conf

Modifier and Type	Class	Description
static class	NeuralNetConfiguration.ListBuilder	Fluent interface for building a list of configurations

Methods in org.deeplearning4j.nn.conf that return MultiLayerConfiguration.Builder

Modifier and Type	Method	Description
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.backpropType(@NonNull BackpropType type)	The type of backprop.
MultiLayerConfiguration.Builder	NeuralNetConfiguration.ListBuilder.backpropType(@NonNull BackpropType type)
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.cacheMode(@NonNull CacheMode cacheMode)	This method defines how/if preOutput cache is handled: NONE: cache disabled (default value) HOST: Host memory will be used DEVICE: GPU memory will be used (on CPU backends effect will be the same as for HOST)
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.confs(List<NeuralNetConfiguration> confs)
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.dataType(@NonNull DataType dataType)	Set the DataType for the network parameters and activations for all layers in the network.
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.inferenceWorkspaceMode(@NonNull WorkspaceMode workspaceMode)	Deprecated. Use NeuralNetConfiguration.Builder.inferenceWorkspaceMode(WorkspaceMode)
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.inputPreProcessor(Integer layer, InputPreProcessor processor)	Specify the processors.
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.inputPreProcessors(Map<Integer,InputPreProcessor> processors)
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.overrideNinUponBuild(boolean overrideNinUponBuild)	Whether to over ride the nIn configuration forcibly upon construction.
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.setInputType(InputType inputType)
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.tBPTTBackwardLength(int backwardLength)	When doing truncated BPTT: how many steps of backward should we do? Only applicable when doing backpropType(BackpropType.TruncatedBPTT) This is the k2 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.tBPTTForwardLength(int forwardLength)	When doing truncated BPTT: how many steps of forward pass should we do before doing (truncated) backprop? Only applicable when doing backpropType(BackpropType.TruncatedBPTT) Typically tBPTTForwardLength parameter is same as the tBPTTBackwardLength parameter, but may be larger than it in some circumstances (but never smaller) Ideally your training data time series length should be divisible by this This is the k1 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.tBPTTLength(int bpttLength)	When doing truncated BPTT: how many steps should we do? Only applicable when doing backpropType(BackpropType.TruncatedBPTT) See: http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.trainingWorkspaceMode(@NonNull WorkspaceMode workspaceMode)	Deprecated. Use NeuralNetConfiguration.Builder.trainingWorkspaceMode(WorkspaceMode)
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.validateOutputLayerConfig(boolean validate)	Enabled by default.
MultiLayerConfiguration.Builder	MultiLayerConfiguration.Builder.validateTbpttConfig(boolean validate)	Enabled by default.