@stats385

Stanford STATS 385 (Analyses of Deep Learning). Curated lists of lectures, papers, datasets, and blogs — a template for professors.

feed lists

* Blogs & commentary (10 nodes) [blogs]

* Core readings (7 nodes) [core]

* Course home (10 nodes) [home]

* Datasets (5 nodes) [datasets]

* Events & workshops (8 nodes) [events]

* Guest lectures (Fall 2019) (9 nodes) [lectures]

* Landmark architectures (10 nodes) [architectures]

* Learning resources (12 nodes) [learning]

* Lecture videos (2017) (9 nodes) [videos-2017]

* Lecture videos (2019) (9 nodes) [videos-2019]

* People (14 nodes) [people]

* Theory & analysis papers (18 nodes) [theory]