Class Hierarchy
- java.lang.Object
- org.deeplearning4j.nn.conf.ComputationGraphConfiguration (implements java.lang.Cloneable, java.io.Serializable)
- org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
- org.deeplearning4j.nn.conf.MultiLayerConfiguration (implements java.lang.Cloneable, java.io.Serializable)
- org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
- org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
- org.deeplearning4j.nn.conf.NeuralNetConfiguration (implements java.lang.Cloneable, java.io.Serializable)
- org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder (implements java.lang.Cloneable)
- org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder.InputTypeBuilder
Interface Hierarchy
- java.lang.Cloneable
- org.deeplearning4j.nn.conf.InputPreProcessor (also extends java.io.Serializable)
- org.deeplearning4j.nn.conf.DataFormat
- java.io.Serializable
- org.deeplearning4j.nn.conf.InputPreProcessor (also extends java.lang.Cloneable)
Enum Hierarchy
- java.lang.Object
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
- org.deeplearning4j.nn.conf.BackpropType
- org.deeplearning4j.nn.conf.CacheMode
- org.deeplearning4j.nn.conf.CNN2DFormat (implements org.deeplearning4j.nn.conf.DataFormat)
- org.deeplearning4j.nn.conf.ConvolutionMode
- org.deeplearning4j.nn.conf.GradientNormalization
- org.deeplearning4j.nn.conf.RNNFormat (implements org.deeplearning4j.nn.conf.DataFormat)
- org.deeplearning4j.nn.conf.Updater
- org.deeplearning4j.nn.conf.WorkspaceMode
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)