LINKED LIST [txt mode] ▸ @stats385 ▸ Lecture videos (2017)
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Lecture videos (2017)

by @stats385 · last added 2026-09-24 · 9 items [videos-2017]

Earlier STATS 385 series — shows multi-year reuse of a course video archive.

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* 2017 L10 — Convnets, Sparse Coding & Crimes of DL
Lecture 10 (2017): Papyan & Donoho — sparse coding view and ‘crimes of deep learning’.
youtube.com · node›
* 2017 L09 — What is Missing in Deep Learning (Olshausen)
Lecture 9 (2017): Bruno Olshausen — what’s still missing in deep learning.
youtu.be · node›
* 2017 L08 — Topology & Geometry of Half-rectified Nets (Bruna)
Lecture 8 (2017): Joan Bruna — topology and geometry of ReLU network optimization.
youtube.com · node›
* 2017 L07 — RMT for Deep Learning (Pennington)
Lecture 7 (2017): Jeffrey Pennington — random matrix theory for deep nets.
youtube.com · node›
* 2017 L05 — Avoiding the Curse of Dimensionality (Poggio)
Lecture 5 (2017): Tomaso Poggio — when deep nets beat the curse of dimensionality.
youtube.com · node›
* 2017 L04 — Convnets from First Principles (Patel)
Lecture 4 (2017): Ankit Patel — first-principles view of convnets.
youtube.com · node›
* 2017 L03 — Harmonic Analysis of Deep CNNs (Bölcskei)
Lecture 3 (2017): Helmut Bölcskei — harmonic analysis of deep convolutional nets.
youtube.com · node›
* 2017 L02 — Overview from a Practical Point of View
Lecture 2 (2017): practical tour of deep learning before the theory deep-dives.
youtube.com · node›
* 2017 L01 — Deep Learning Challenge. Is There Theory?
Lecture 1 (2017): Donoho/Monajemi/Papyan — framing the theory challenge.
youtube.com · node›
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