Deep Learning 101
markus.com
Deep Learning 101
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Re: Deep Learning 101
#2Re: Deep Learning 101
#3https://www.dropbox.com/s/4k72g8b2tl3mgzt/Screenshot%202013-...
Re: Deep Learning 101
#4OT but the text selection behavior on this page is fascinating! (Or horrific if you don't want to be nice). I've never seen anything like it. https://www.dropbox.com/s/4k72g8b2tl3mgzt/Screenshot%202013-...
Re: Deep Learning 101
#5Re: Deep Learning 101
#6This is awesome!
Re: Deep Learning 101
#7Earlier quoted context omitted.
Ahh what are you viewing it on?
Chrome 31.0.1650.48 on OSX
It appears to be a bug with a combination of the ::selected pseudoelement in conjunction with the font Georgia. My guess is it's a Chrome-on-mac bug (Firefox is fine), not a site coding error.
Disabling either the font or the selection style fixes it. Most likely a text rendering issue. At work we've noticed Chrome getting buggier in relation to that, as well as retaining DOM node properties via redraws.
Re: Deep Learning 101
#8Re: Deep Learning 101
#9I know how to code through self learning, and I've pretty much solely done web development. So I barely know much CS. Also not very good at math.
So what are the essential prerequisites you would say are necessary for doing neat, useful stuff with machine learning?
Re: Deep Learning 101
#10It's ironic that deep neural networks have become the biggest machine learning breakthrough of 2013: they were also the biggest machine learning breakthrough of 1957. The idea dates back to the Perceptron, one of the oldest ideas in AI.
One thing to note: although there was a lot of initial excitement about Restricted Boltzman Machines, Auto-encoders, and other unsupervised approaches, the best results in the last year or so have all used conventional the back-propagation algorithm from 1974, with a few tweaks. http://en.wikipedia.org/wiki/Backpropagation
Ben Lorica wrote a good article on the latest deep learning research from Google, and what's changed since neural networks were last popular in the 1980's: http://strata.oreilly.com/2013/10/deep-learning-oral-traditi...
What's old is new again.