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Alpha Zero has revolutionised chess programming. The programme taught itself chess by playing against itself and storing its training knowledge in a neural network. All programmes have followed suit with this technique. Roger Lorenz uses a simple example to show how neural networks work and how they can be trained.
Read my manifesto on Code as an alternative to Mathematics. Code for this article can be found on this Colab Notebook should you choose to follow along. Why Kalman Filters? Kalman filters are ingenius. If you have never heard of them, then a very intuitive (and arguably reductive) way to think about them is to
A recent Reddit post showcased a series of artistic QR codes created with Stable Diffusion. Those QR codes were generated with a custom-trained ControlNet
Ambigrammatic Figure #0073 Overview These faces are “ambigrams”: images that are legible both upside-down and right-side up. Created with a machine learning system, they may be displayed in any orientation. In this project, a collection of 55 such ambigrammatic faces have been generated in high resolution, and printed as a limited edition deck of poker-sized cards. In the text of the deck's accompanying packaging, collectors of this artwork are encouraged to devise their own activities with these cards: Sort the cards from most to least _________. Give names to the depicted. Write the per...