Eugene Yan Shares Cheng's Sudoku Experiment: Reverse Curriculum Beats Standard Training
Original titleCheng’s experiment is cool! Especially this: “instead of starting with easy sudoku puzzles data and gradually ramping up toward harder on...
AISummary
Eugene Yan highlights Cheng's sudoku experiment, in which training on hard puzzles first and easy ones last outperformed both easy-to-hard curricula and mixed-difficulty sampling. The post builds on Cheng's project Sotaku, a neural net that reportedly learned sudoku rules automatically and scored 98.9% on a hard sudoku dataset.
Source: Eugene Yan · x.comPublished · added here