DeepONet Tutorial in JAX
1:05:07
UNet Tutorial in JAX
10:32
Roadmap to Section 3.5 Evidence Approximation - Pattern Recognition and Machine Learning
12:54
How To Self Study AI FAST
1:18:58
Autoregressive ResNet for Kuramoto-Sivashinsky (KS) in JAX
27:59
Neural Networks in pure JAX (with automatic differentiation)
3:24
JAX in 100 Seconds
1:06:55
Fourier Neural Operators (FNO) in JAX
1:02:15