Lec 09. Hacker's Guide to Deep Learning
MIT 6.7960 Deep Learning, Fall 2024 Instructor: Phillip Isola View the complete course: https://ocw.mit.edu/courses/6-7960-de... YouTube Playlist: • MIT 6.7960 Deep Learning, Fall 2024 This video shares practical tips and opinionated anecdotes on how to effectively train deep neural networks and get them to perform as intended. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

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Lec 10. Architectures: Memory

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AI Is Breaking How We Teach | Terry Tao

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Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains

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Lec 01. Introduction to Deep Learning

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How Linear Algebra Powers Machine Learning (ML)
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Yann LeCun's $1B Bet Against LLMs [Part 1]

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What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs - Eric Jang

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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

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Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI

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The Hardest Questions in Physics | World Science Festival

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MIT Introduction to Deep Learning | 6.S191

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PyTorch Tutorial

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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

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Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

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How to Speak

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Yann LeCun: World Models: Enabling the next AI revolution

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