Lecture videos (2019)
YouTube recordings from the Fall 2019 Analyses of Deep Learning series.
Lecture 10 (2019): Vardan Papyan — Hessians and spectral analysis.
Lecture 9 (2019): Andrew Saxe — deep linear network dynamics.
Lecture 8 (2019): Nathan Srebro — implicit bias and inductive bias.
Lecture 7 (2019): Aleksander Madry — adversarial robustness.
Lecture 6 (2019): Arthur Jacot — Neural Tangent Kernel.
Lecture 5 (2019): Song Mei — mean-field views of neural networks.
Lecture 4 (2019): Jeffrey Pennington — GP / wide-network perspective.
Lecture 3 (2019): Tengyu Ma on theory and analyses of deep learning.
Lecture 1 (2019): Analyses of Deep Learning — opening overview by David Donoho.
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