Uses of Package
org.deeplearning4j.nn.conf.graph

Packages that use org.deeplearning4j.nn.conf.graph

Package	Description
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.graph
org.deeplearning4j.nn.conf.graph.rnn
org.deeplearning4j.nn.conf.layers.samediff
org.deeplearning4j.nn.conf.serde.legacyformat
org.deeplearning4j.nn.transferlearning

Classes in org.deeplearning4j.nn.conf.graph used by org.deeplearning4j.nn.conf

Class and Description
GraphVertex A GraphVertex is a vertex in the computation graph type of neural network.

Classes in org.deeplearning4j.nn.conf.graph used by org.deeplearning4j.nn.conf.graph

Class and Description
ElementWiseVertex An ElementWiseVertex is used to combine the activations of two or more layer in an element-wise manner For example, the activations may be combined by addition, subtraction, multiplication (product), average or by selecting the maximum. Addition, Average, Max and Product may use an arbitrary number of input arrays.
ElementWiseVertex.Op
GraphVertex A GraphVertex is a vertex in the computation graph type of neural network.
L2NormalizeVertex L2NormalizeVertex performs L2 normalization on a single input, along the specified dimensions.
L2Vertex L2Vertex calculates the L2 (Euclidean) least squares error of two inputs, on a per-example basis.
MergeVertex A MergeVertex is used to combine the activations of two or more layers/GraphVertex by means of concatenation/merging. Exactly how this is done depends on the type of input. For 2d (feed forward layer) inputs: MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2] For 3d (time series) inputs: MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength]) -> [numExamples,layerSize1 + layerSize2,timeSeriesLength] For 4d (convolutional) inputs: MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height]) -> [numExamples,depth1 + depth2,width,height]
PoolHelperVertex Removes the first column and row from an input.
ReshapeVertex Adds the ability to reshape and flatten the tensor in the computation graph. NOTE: This class should only be used if you know exactly what you are doing with reshaping activations.
ScaleVertex A ScaleVertex is used to scale the size of activations of a single layer: this is simply multiplication by a fixed scalar value For example, ResNet activations can be scaled in repeating blocks to keep variance under control.
ShiftVertex A ShiftVertex is used to shift the activations of a single layer.
StackVertex StackVertex allows for stacking of inputs so that they may be forwarded through a network.
SubsetVertex SubsetVertex is used to select a subset of the activations out of another GraphVertex. For example, a subset of the activations out of a layer. Note that this subset is specifying by means of an interval of the original activations.
UnstackVertex UnstackVertex allows for unstacking of inputs so that they may be forwarded through a network.

Classes in org.deeplearning4j.nn.conf.graph used by org.deeplearning4j.nn.conf.graph.rnn

Class and Description
GraphVertex A GraphVertex is a vertex in the computation graph type of neural network.

Classes in org.deeplearning4j.nn.conf.graph used by org.deeplearning4j.nn.conf.layers.samediff

Class and Description
GraphVertex A GraphVertex is a vertex in the computation graph type of neural network.

Classes in org.deeplearning4j.nn.conf.graph used by org.deeplearning4j.nn.conf.serde.legacyformat

Class and Description
GraphVertex A GraphVertex is a vertex in the computation graph type of neural network.

Classes in org.deeplearning4j.nn.conf.graph used by org.deeplearning4j.nn.transferlearning

Class and Description
GraphVertex A GraphVertex is a vertex in the computation graph type of neural network.