# Deep learning theory lecture notes by Matus Telgarsky

**URL:** <https://community.deeplearning.ai/t/deep-learning-theory-lecture-notes-by-matus-telgarsky/114109>\
**Category:** Deep Learning Resources\
**Created:** [March 30, 2022, 8:13am UTC](https://community.deeplearning.ai/t/deep-learning-theory-lecture-notes-by-matus-telgarsky/114109 "2022-03-30T08:13:06Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Nick\_Decroos](https://avatars.discourse-cdn.com/v4/letter/n/ebca7d/32.png) [@Nick\_Decroos](https://community.deeplearning.ai/u/Nick_Decroos)\
**Post date:** [March 30, 2022, 8:13am UTC](https://community.deeplearning.ai/t/deep-learning-theory-lecture-notes-by-matus-telgarsky/114109/1 "2022-03-30T08:13:06Z")

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[https://mjt.cs.illinois.edu/dlt/](https://mjt.cs.illinois.edu/dlt/)

These notes are by Matus Telgarsky.

It makes use of mathetical subdisciplines like approximation theory and convex optimization to ground deep learning theory.

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**Author:** ![reinoudbosch](https://avatars.discourse-cdn.com/v4/letter/r/22d042/32.png) [@reinoudbosch](https://community.deeplearning.ai/u/reinoudbosch)\
**Post date:** [October 8, 2022, 2:39pm UTC](https://community.deeplearning.ai/t/deep-learning-theory-lecture-notes-by-matus-telgarsky/114109/2 "2022-10-08T14:39:51Z")

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Hi Nick\_Decroos,

A belated thank you for posting this!