Lightweight Neural Network
Lightweight Neural Network is a lightweight implementation in C of a backpropagation neural network. It is intended for use in programs that just happen to need a simple neural network and do not want to incorporate a needlessly complex neural network library. It features multilayer backpropagation neural network with settable momentum and learning rate, easy portability, and small size. Included is an example application that trains a neural network to recognize handwritten digits.
| Tags | Software Development Libraries Scientific/Engineering Mathematics Artificial Intelligence |
|---|---|
| Licenses | LGPL |
| Implementation | C |
Recent releases
- 28 Jul 2005 12:24
Changes: Support for trainable bias.
- 26 Oct 2003 18:36
Changes: This release adds support for batch training.
- 09 Oct 2003 14:09
Changes: This release has improved error handling for file I/O, and the option to save/load a binary representation of a neural network. Furthermore, it contains an example application that trains a neural network to recognize handwritten digits.
- 29 Sep 2003 02:53
Changes: The return type of some functions were changed from network_t * to void. The name of the header file was changed to lwneuralnet.h and the library to liblwneuralnet.a. Some changes were made to make the API more consistent and additional documentation was included.
- 26 Sep 2003 03:28
No changes have been submitted for this release.
