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Comment · 18 days ago
Comment · 1 year ago
Comment · 2 years ago
Pytorch and tensorflow is pretty big. It implies all state of the art research code is not written in Julia, so it is a non-starter for any neural network based project.
Comment · 2 years ago
Because it only increases high single digit each release. If they keep up the 10% improvement for the next 10 release, we will reach a speedup of around 2.5 times. That's very small, considering how Python is like 10-20 times slower than JS (not even talking about C or Java like speeds).
Comment · 4 years ago
I always wondered where the integral sign was coming from. This gives a very simple explanation: it's just the letter 's', the shorthand for sum!
Comment · 4 years ago
Comment · 4 years ago
Comment · 4 years ago
I don't really get the first part of your comment. You say an NN is "just" compression + kNN and does no representational learning. But finding a compression (a transformation in other words) that makes kNN feasible on the data is exactly what people mean when they say it finds a hidden representation. It is a highly non-trivial task: e.g. simple distance in pixel space between images would get you useless results.

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