-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi,
I'd like to use ANNs in python, especially Simple Recurrent Networks. Ideally I'd like to find a quick, pythonic module that is able to simulate different styles of network architectures including some types of recurrent networks (must: SRN/Elman, may: other recurrent networks like ESN or LSTM to experiment with them). So far I found the following Python ANN modules: - - PyNN (just a builder, requires external simulator) – http://neuralensemble.org/trac/PyNN/ - - Con-x (part of pyro) – http://pyrorobotics.org/?page=Conx - - PyNeurGen (includes genetic algorithms) – http://pyneurgen.sourceforge.net/ - - ffnet (only fast forward) – http://ffnet.sourceforge.net/ - - brian (spiking networks) – http://www.briansimulator.org/ - - PyBrain (machine learning) – http://pybrain.org/ Can you give me a recommendation or a review on some of these? Are there other modules for simulating ANNs? Greetings, Gereon -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.9 (GNU/Linux) Comment: Using GnuPG with Mozilla - http://enigmail.mozdev.org iEYEARECAAYFAkuFIHIACgkQFWJnZLsO/Wvp1ACfa2dhOd0b0SIVkOzZN0ebRJdd WFQAoIttIDNbIuqViDbPeVyS+wtGj6tI =N1oM -----END PGP SIGNATURE----- -- http://mail.python.org/mailman/listinfo/python-list