Hi All, I'm Andy Kitchen, the one who did the ML presentation at MPUG, I just haven't had time to put my code online yet (sorry! I will soon, really) but in the mean time here are some links.
Here are those tutorials for theano, it's a little hard going but very detailed: http://deeplearning.net/tutorial/ Google large scale network research (Good Reads): http://googleblog.blogspot.com.au/2012/06/using-large-scale-brain-simulations-for.html http://research.google.com/archive/large_deep_networks_nips2012.html Pretrained large-scale networks: http://cilvr.nyu.edu/doku.php?id=code:start http://caffe.berkeleyvision.org/ On Tue, Sep 2, 2014 at 8:03 AM, Javier Candeira <[email protected]> wrote: > Thanks to everyone who attended MPUG last night. Special thanks go to > Jason King and Andy Kitchen for presenting, and to Graeme Cross for > organising the resources to make giving What's New talks easy for > anyone: > > http://www.curiousvenn.com/2014/08/resources-for-creating-the-whats-new-talks/ > > Thanks also to Ed Schofield for organising pizza and Graeme for > running the session, and to the many folks who helped with moving > tables around. It was great to just attend and not have to worry about > stuff. > > Finally, thanks to John Barham for stepping up and proposing a talk > for October. We only need a What's New presenter now. > > By the way, my talk is here: > > http://tinyurl.com/mpug-sept-2014 > > See you in October, > > Javier _______________________________________________ melbourne-pug mailing list [email protected] https://mail.python.org/mailman/listinfo/melbourne-pug
