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Disagree on Goodfellow, personally I found it the most approachable introduction to neural networks & backprop. To be fair, I think this must have been the pre-
by nmfisher 5y ago
Disagree on Goodfellow, personally I found it the most approachable introduction to neural networks & backprop. To be fair, I think this must have been the pre-GAN edition so maybe it's changed a bit since then.
ESL is a fantastic reference but I wouldn't recommend it as a textbook, it's just too terse.
- disgruntledphd2 5y ago> ESL is a fantastic reference but I wouldn't recommend it as a textbook, it's just too terse. I dunno, it's really well written (at least chapters 1-9 are, because they were re-written) and the graphs are to die for. It definitely has a bunch of theorems and proofs that may not be necessary, but the overall flow isn't lost by skipping the ones above your mathematical maturity level. To be fair though, I also love TAOCP, and have worked through 1.5 chapters at this point.