I got the basics of Machine learning (including sample neural nets) from Andrew Ng's course course, two or three years ago. I highly recommend it. Lots of practical advice. The rest came from reading papers and probably some on-line searches. Amazon's Computer Vision team uses deep neural nets. I've talked to some of them and attended some internal presentations. I'm using caffe, so I don’t need to implement the network code itself. Mostly I looked for practical advice about network organizations that work.
David > -----Original Message----- > From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf > Of Darren Cook > Sent: Wednesday, March 02, 2016 1:53 AM > To: computer-go@computer-go.org > Subject: [Computer-go] Deep Learning learning resources? > > I'm sure quite a few people here have suddenly taken a look at neural > nets the past few months. With hindsight where have you learnt most? > Which is the most useful book you've read? Is there a Udacity (or > similar) course that you recommend? Or perhaps a blog or youtube series > that was so good you went back and read/viewed all the archives? > > Thanks! > Darren > > P.S. I was thinking pragmatic, and general, how-to guides for people > dealing with challenging problems similar to computer go, but if you > have recommendations for latest academic theories, or for a very > specific field, I'm sure someone would appreciate hearing it. > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
