Ziwei Li and Sai Ravela discuss how
- The predictability of neural networks is near identical to the chaotic dynamics they learn from
- This they argue is because neural Networks follow a path to chaos through alternate stretching and compression
- Very few training points are needed to learn the Lorenz attractor
See you at AGU 2019!