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Comment by 31reasons | Hacker News Reader

Its not as complicated as it seems. 2 full-time year might be required if you want to start in the PhD program for it but not for its applications.

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That's pretty comforting to hear. Do you know of any resources off the top of your head to learn this type of thing?

torch7 used by facebook and google. Fast becoming the standard industrial neural nets library. http://torch.ch Read the tutorials and you can get something working in a day

"Used by Facebook and Google" ? Citation needed. AFAIK, at least Google has an internal homebrew solution, that automatically scales to large clusters.

Google DeepMind chiefly uses Torch7. I presume parts of Twitter also use it now since they acquired Clement Farabet's startup MadBits.

Facebook's AI research lab has contributed to the Torch7 project (which is unsurprising since it is lead by Yann LeCun, and Torch7 was originally developed in his group at NYU).

I wouldn't go as far as to say it's "becoming the industry standard" though. Caffe and Theano are also very popular.

AMA with Yann LeCun which confirms they are using it. http://www.reddit.com/r/MachineLearning/comments/25lnbt/ama_...

I stand corrected. Thanks for the link. I had somehow missed that AMA; it's fascinating reading. (Hinton's too).

Facebook AI Research uses Torch heavily, and contributes improvements back to the open-source version.

Geoffrey Hinton (a notable deep learning researcher) did a coursera course on neural networks awhile ago. It's over but you can still see the lectures which are very good: https://www.coursera.org/course/neuralnets

Metacademy is also a very useful resource for anything machine learning: http://www.metacademy.org/

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