Feed-forward neural network for python
Project description
ffnet is fast and easy to use feed-forward neural network training solution for python. You can use it 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 or at the project homepage.
