Kyle Cranmer: "Deep Learning in the Physical Sciences"
37:10
Stéphane Mallat: "Deep Generative Networks as Inverse Problems"
1:09:58
MIT Introduction to Deep Learning | 6.S191
50:59
Joshua Vogelstein - It's about time: learning in a dynamic world - IPAM at UCLA
37:33
Kaggle Competition "Forest Cover Type Prediction"
1:02:08
New Directions for Tensor Networks: Machine Learning and Quantum Computing I
51:59
Conor Heins - Collective behavior from surprise minimization - IPAM at UCLA
58:12
MIT Introduction to Deep Learning (2023) | 6.S191
42:25