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 (2025): Large Language Models (Liquid AI)
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Lec 01. Introduction to Deep Learning
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Conan O’Brien Delivers the Commencement Address | Harvard Commencement 2026
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MIT 6.S191: Reinforcement Learning
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MIT 6.S191: Convolutional Neural Networks
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MIT 6.S191: Secrets of Massively Parallel Training
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"A.I. and Our Economic Future," Professor Chad Jones
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MIT 6.S191 (2024): Google - Generative AI for Media
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Transformers, the tech behind LLMs | Deep Learning Chapter 5
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MIT 6.S191: Deep Generative Modeling
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Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG
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MIT 6.S191 (2025): Convolutional Neural Networks
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Stanford CS230 | Autumn 2025 | Lecture 1: Introduction to Deep Learning
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MIT 6.S191: AI for Science
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MIT 6.S191 (2025): Reinforcement Learning
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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs
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