MIT Introduction to Deep Learning | 6.S191

MIT Introduction to Deep Learning 6.S191: Lecture 1 New 2026 Edition Foundations of Deep Learning Lecturer: Alexander Amini For all lectures, slides, and lab materials: http://introtodeeplearning.com/ Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

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MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention
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MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

Prof. Dr. Markus Gabriel: The Impact of Artificial Intelligence on Our Thinking.
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Prof. Dr. Markus Gabriel: The Impact of Artificial Intelligence on Our Thinking.

Is RAG Still Needed? Choosing the Best Approach for LLMs
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Is RAG Still Needed? Choosing the Best Approach for LLMs

MIT 6.S191: Convolutional Neural Networks
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MIT 6.S191: Convolutional Neural Networks

System Design Course – APIs, Databases, Caching, CDNs, Load Balancing & Production Infra
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System Design Course – APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

I Built an LLM From Scratch
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I Built an LLM From Scratch

[Reinforcement Learning] 1. Introduction
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[Reinforcement Learning] 1. Introduction

MIT 6.S191: Reinforcement Learning
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MIT 6.S191: Reinforcement Learning

From Child Prodigy to Winning Fields Medal, Nobel of Math
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From Child Prodigy to Winning Fields Medal, Nobel of Math

AI, Machine Learning, Deep Learning and Generative AI Explained
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AI, Machine Learning, Deep Learning and Generative AI Explained

China quietly saved the world last month
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China quietly saved the world last month

Full AI Prompting Course with Andrew Ng
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Full AI Prompting Course with Andrew Ng

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

Transformers, the tech behind LLMs | Deep Learning Chapter 5
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Transformers, the tech behind LLMs | Deep Learning Chapter 5

MIT 6.S191: AI for Science
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MIT 6.S191: AI for Science

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

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

AI Complete OneShot Course for Beginners | Learn AI & ML Fundamentals from Scratch
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AI Complete OneShot Course for Beginners | Learn AI & ML Fundamentals from Scratch

AlphaFold - The Most Useful Thing AI Has Ever Done
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AlphaFold - The Most Useful Thing AI Has Ever Done

The Riskiest Moment of the AI Bubble
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The Riskiest Moment of the AI Bubble