@jmw150 i'd be in favour of teaching the low level stuff rather more than less. look at the state of how programming is done today in reality. it's bad abstractions stacked upon each other, the usual fix is to throw more hardware onto it.

secondly, while there are valid applications of neural nets, you end up with a statistic black box. this isn't desireable for the majority of things where you'd rather have a proveable solution, which only a classic algorithm can give you (be it parallel or not).

imho, parallel algorithms is topic which is really interesting but shadowed by "throw a neural net into it!". neural nets are just evolutionary algorithms parallelized, it's kind of boring in a sense.

Follow

@bonifartius for the last part. I think we will exhaust the easier problems, the sophistication of neural nets research will grow. Explanations of these things can get pretty fancy already.

arxiv.org/abs/2008.13697

Sign in to participate in the conversation
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.