| Class | Description |
|---|---|
| InputType |
The InputType class is used to track and define the types of activations etc used in a ComputationGraph.
|
| InputType.InputTypeConvolutional | |
| InputType.InputTypeConvolutionalFlat | |
| InputType.InputTypeFeedForward | |
| InputType.InputTypeRecurrent |
| Enum | Description |
|---|---|
| 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 |
|---|---|
| InvalidInputTypeException |
InvalidInputTypeException: Thrown if the GraphVertex cannot handle the type of input provided.
|