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by gok 1988 days ago
> This makes programmers sad, because by nature we love to brute force trial-and error our code, and homey don't play that game with machine learning.

Huh? If anything I would say ML is way more trial-and-error focused than imperative programming.

1 comments

Well, if your only experience is reading python opencv stack overflow posts, then of course...
I mean in the sense that using ML for a problem often requires just trying a dozen different modeling techniques, then a bunch of a hyper-parameter searching, then a bunch of stochastic tuning…
Oh. I see what you mean. Yeah, I guess by definition backwards propagation is trial-end-error. Huh, I never thought of it that way. Thanks for clarifying, I thought you were being saucy: my apologies for being snarky.
It's HN; we're all here for the snark!