Class | Description |
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InputType |
The InputType class is used to track and define the types of activations etc used in a ComputationGraph.
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InputType.InputTypeConvolutional | |
InputType.InputTypeConvolutionalFlat | |
InputType.InputTypeFeedForward | |
InputType.InputTypeRecurrent |
Enum | Description |
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InputType.Type |
The type of activations in/out of a given GraphVertex
FF: Standard feed-foward (2d minibatch, 1d per example) data RNN: Recurrent neural network (3d minibatch) time series data CNN: Convolutional neural n |
Exception | Description |
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InvalidInputTypeException |
InvalidInputTypeException: Thrown if the GraphVertex cannot handle the type of input provided.
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