Marek Wojciechowski wrote:
Comapring to conx.py ffnet is much, much faster and much, much simpler. Faster thanks to scipy optimization routines and simpler because simplicity was the basic assumption when I created ffnet.
To prove it: I trained a XOR network (2-2-1) in conx with: ... This performed 5000 iterations in 34.6 s (and the tolerance has not been reached)
With ffnet it can be done with: ... The above trains nework in 17.9 ms, and the fitness is perfect.
ffnet is almost 2000 times faster than conx in this example! An the code is simpler.
However there are some nice testing methods in conx, which can be used in ffnet.
Hi Marek, Thank you _very_ much for your test. When I need to use ANN is on huge datasets so performance is a really big issue to me. I'll definitely try your ffnet very soon on my data. And I hope to see recurrent neural networks implemented in future releases ;) Emanuele