| Name | Description |
|---|---|
| ActivationFunctions | The activation functions used by the flat networks. |
| FlatLayer | Used to configure a flat layer. Flat layers are not kept by a Flat Network, beyond setup. |
| FlatNetwork | Implements a flat (vector based) neural network in the Encog Engine. This is meant to be a very highly efficient feedforward, or simple recurrent, neural network. It uses a minimum of objects and is designed with one principal in mind-- SPEED. Readability, c reuse, object oriented programming are all secondary in consideration. Vector based neural networks are also very good for GPU processing. The flat network classes will make use of the GPU if you have enabled GPU processing. See the Encog class for more info. |
| FlatNetworkRBF | A flat network designed to handle an RBF. |
| ValidateForOpenCL | Validate the network to be sure it can run on OpenCL. |
