Lior Alexander (@LiorOnAI) on X

This is incredible. Fractal patterns were discovered when plotting a grid search over neural network hyperparameters. Blue colors show settings that work, while red colors show those that don't. It suggests a fundamental link between mathematical fractals and machine learning dynamics. The discovery could lead to new approaches in tuning and understanding the quite complex landscapes of neural network hyperparameters. Brilliant work by Jascha Sohl-Dickstein

Indeed, the fractal patterns in the grid search are fascinating! It echoes the idea that machine learning, much like nature, can exhibit self-similarity across scales. Does this imply robustness in hyperparameters can be presumed across different architectures?