MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention
MIT Introduction to Deep Learning 6.S191: Lecture 2 Recurrent Neural Networks Lecturer: Ava Amini ** New 2026 Edition ** 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 @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
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MIT 6.S191: Convolutional Neural Networks
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The Complex Universe, with Sean Carroll
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Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 1 - Transformer
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Visualizing transformers and attention | Talk for TNG Big Tech Day '24
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Outsourcing the Mind: The Dangers of AI Overreliance and What to Do About It
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MIT Introduction to Deep Learning | 6.S191
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MIT 6.S191: AI for Science
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MIT Introduction to Deep Learning (2025) | 6.S191
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MIT 6.S191: Language Models and New Frontiers
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Attention in transformers, step-by-step | Deep Learning Chapter 6
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Demis Hassabis: We're Three Quarters of the Way to AGI
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6. Monte Carlo Simulation
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MIT 6.S191: Reinforcement Learning
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MIT 6.S191 (2025): Convolutional Neural Networks
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MIT 6.S191 (2024): Google - Generative AI for Media
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MIT 6.S191: Secrets of Massively Parallel Training
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MIT 6.S191: The Three Laws of AI
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Transformers, the tech behind LLMs | Deep Learning Chapter 5
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