858
answer = sum(n) / len(n)
(lemmy.eco.br)
A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.
Rules
Bayesian purist cope and seeth.
Most machine learning is closer to universal function approximation via autodifferentiation. Backpropagation just lets you create numerical models with insane parameter dimensionality.
A monad is just a monoid in the category of endofunctors, after all.
No, no, everyone knows that a monad is like a burrito.
(Joke is referencing this: https://blog.plover.com/prog/burritos.html )
So what you're saying is that if you put a burrito inside a burrito it's still a burrito?
https://youtu.be/2EWWL3niBWY