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floodsung / Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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Suggestion: add paper "Approximation Capabilities of Muitilayer Feedforward Networks" #33

Open faizankshaikh opened 7 years ago

faizankshaikh commented 7 years ago

link to paper: http://zmjones.com/static/statistical-learning/hornik-nn-1991.pdf

BowieHsu commented 7 years ago

may i ask why?

faizankshaikh commented 7 years ago

It's a mathematical explanation for why neural networks are universal approximators

faizankshaikh commented 7 years ago

Yes I agree its a little bit mathematical for a beginner. But don't you agree it should be included in beginner's roadmap if he/she wants to fully understand NN?

dlmacedo commented 7 years ago

It is a classical important paper.

I think should be included.

2016-12-29 8:58 GMT-03:00 jalFaizy notifications@github.com:

Yes I agree its a little bit mathematical for a beginner. But don't you agree it should be included in beginner's roadmap if he/she wants to fully understand NN?

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