| Class | 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 or multiplication. |
| GraphVertex |
A GraphVertex is a vertex in the computation graph.
|
| L2NormalizeVertex |
L2NormalizeVertex performs L2 normalization on a single input.
|
| L2Vertex |
L2Vertex calculates the L2 least squares error of two inputs.
|
| LayerVertex |
LayerVertex is a GraphVertex with a neural network Layer (and, optionally an
InputPreProcessor) in it |
| 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] |
| PreprocessorVertex |
PreprocessorVertex is a simple adaptor class that allows a
InputPreProcessor to be used in a ComputationGraph
GraphVertex, without it being associated with a layer. |
| ScaleVertex |
A ScaleVertex is used to scale the size of activations of a single layer
For example, ResNet activations can be scaled in repeating blocks to keep variance under control. |
| 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.
|
| Enum | Description |
|---|---|
| ElementWiseVertex.Op |