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Very much smart people
(lemmy.nz)
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this post was submitted on 22 Sep 2025
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Microblog Memes
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In practice it's very systematic for small networks. You perform a search over a range of values until you find what works. We know the optimisation gets harder the deeper a network is so you probably won't go over 3 hidden layers on tabular data (although if you really care about performance on tabular data you would use something that wasn't a neural network).
But yes, fundamentally, it's arbitrary. For each dataset a different architecture might work better, and no one has a good strategy for picking it.
There are ways to estimate a little more accurately, but the amount of fine tuning that is guesswork and brute force searching is too damn high...