Ask HN: Where to begin learning about Neural Nets

4 points·MollyR··2 comments

I want to start learning more about machine learning, neural nets, and how to apply them practically. I'm looking for advice, links, recommendations. Any thing python related would be a huge plus too.

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My favorite tutorial is located here:

http://www.ai-junkie.com/ann/evolved/nnt1.html

It's easy to follow and not too theoretical. It's really down to earth and code/algorithm focused.

The below resources are the ones I used when I started to learn about DL/NNs. Some of them are focused specifically on certain applications, but I found them helpful, too.

Basic NNs:

http://www.wildml.com/2015/09/implementing-a-neural-network-... (a whole series, all worth reading)

https://gist.github.com/sthware/c47824c116e6a61a56d9 (my code based on the above)

http://iamtrask.github.io/2015/07/27/python-network-part2/

http://rolisz.ro/2013/04/18/neural-networks-in-python/

ML:

http://cs229.stanford.edu/materials.html

http://onlinestatbook.com/2/index.html

DL in general, RNNs, RNTS, CNNs, some others:

http://cs224d.stanford.edu/syllabus.html

http://cs231n.stanford.edu/syllabus.html

http://mattmazur.com/2015/03/17/a-step-by-step-backpropagati...