ffnet is fast and easy to use feed-forward neural network training solution for python. Using it you are able to train/test/save/load and use artificial neural network with sigmoid activation functions.
Unique features present in ffnet: 1. Any network connectivity without cycles is allowed (not only layered). 2. Training can be performed with use of several optimization schemes including genetic alorithm based optimization. 3. There is access to exact partial derivatives of network outputs vs. its inputs. 4. Normalization of data is handled automatically by ffnet. Examples with full description can be found in examples directory of the source distribution downloadable from: http://sourceforge.net/projects/ffnet Visit also home page of the project: http://ffnet.sourceforge.net Marek Wojciechowski -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations.html
