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I am sick of reading about anything "deep" and "neural" on Hacker News (especially hype/puff pieces), but this blog post is so well-written that I'm upvoting it despite being about ANNs. I guess proper knowledge is the opposite of hype anyway.

I wish research papers on AI were a bit more like this and bit less like what they are.

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Per your last comment, I'm thinking about changing this blog series to be a "blog" version of academic papers... starting with this one.

https://iamtrask.github.io/2016/02/25/deepminds-neural-stack...

I love your blog, keep up the good work.

Thank you!

I think that's a great idea. At this point in time, there is so much stuff going on the CS/AI/ML domain that translating research papers into something people can read without incalculable suffering might be as important and valuable as research itself. After all, many of those papers concern things that almost anyone with access to a computer can actually implement and use.

PS: Bonus points for anything that diverges from the current mainstream (like SVMs or boosting).

you should appreciate this one too: http://makerstutorial.blogspot.com/2008/08/how-to-build-elec...

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