Visuals are amazing, as always!
I've recently learned that 3b1b has his own animation library.
https://github.com/3b1b/manim
I wonder if there are any manim art out there :)
> In contrast, running the neural network takes 5μs (twenty thousand times faster) with only a small loss in accuracy. This “approximate function inversion via gradients” trick is a very general one that can not only be used with dynamical systems, but also lies behind the fast style transfer algorithm.
Very interesting! Follow up question -- how would you choose the network architecture?
StyleGAN2 takes 512 dimensional vector as an input. Would be neat to attach some physical input device, like a matrix of dials... And encode your own painting with it :)
If there are no graphs or formulas in the book, I prefer to use a text-to-speech engine. Over the years I've become able to listen to it on great speeds. It feels easier to comprehend spoken language.
I listen to books and articles via text to speech application for over 3 years. Currently i am able to listen comfortably at 3.6x speed. I don't know how to test comprehension through. My friend says i might be able to think faster than other people, because of superhuman listening powers i now posess. Don't know how to test that either.