alg_fun

wouldn't i be faster to use ram as a swap for vram?

I was able to reproduce it with alexa app on Android

There was also a trebuchet appearance during Ukranian riots in 2014: https://www.youtube.com/watch?v=IEY4WG7P0NQ

It's funny that the letter itself uses 70 char lines

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?

Maybe this jupyter book can be used as a blog?

wow, it somehow looks a lot better than previous GAN paintings I've seen. And there are weights of this network, shared by the author in twitter. https://mega.nz/#!TCgSVCTa!ZmcV381soxyqiQyHO4p60F5ogoHcaO1Pq...

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 use voice aloud reader for android. It is has awful ux but allows up to 4x speed.

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.

This article is about bash and not linux