[fat0wl]

I did the Stanford free online one the first time it was offered a year or so back. Was perfect -- didn't move at a blazing pace and was very lean. Great instructor, highly recommended (though I think it may have been absorbed into Coursera?).

[maurits]

If you liked the ML Coursera class, Ng also has an introduction to deep-learning in more or less the same casual explicit style.

[1]: Wiki with code, exercises and explanation

[2]: Video lecture one with a recap on backprop

[3]: Video lecture two on Sparse Auto Encoders

[4]: Handouts

[1]: http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutori...

[2]: http://www.stanford.edu/class/cs294a/video1.html

[3]: http://www.stanford.edu/class/cs294a/video2.html

[4]: http://www.stanford.edu/class/cs294a/handouts.html

[fat0wl]

awesome he is a real pleasant & organized teacher for this kindof stuff I will definitely take a look

[bglazer]

Nope, it's still around on youtube and on the Stanford Engineering Everywhere site. The coursera version of the class is much more introductory and skips significant parts of the full Stanford version.

http://www.youtube.com/watch?v=UzxYlbK2c7E http://see.stanford.edu/see/courseInfo.aspx?coll=348ca38a-3a...

[Anon84]

Yes, I'm taking it now.

Edit: https://www.coursera.org/course/ml

[MLfan]

There's also a more sophisticated course on ML by Hinton: https://www.coursera.org/course/neuralnets Have you tried it as well?

[Anon84]

I'm browsed it a bit. I'm hoping they will offer it again.

I've been following the self paced AI class in Udacity https://www.udacity.com/course/cs271

[elwell]

Do you have a link? I would be interested.

[bglazer]

http://see.stanford.edu/see/courseInfo.aspx?coll=348ca38a-3a...