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!