S24 Recitation 3

Carnegie Mellon University Deep Learning30.1K subscribers

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Full-course playlist '11785 Spring 2024 Recitations' from a curated course list (11-785: Introduction to Deep Learning - CMU (Lectures - YouTube-2024, Recitations - YouTube-2024)); uploader is official; playlist judged: Official CMU channel's recitation series for a real graduate deep learning course, covering substantive technical and practical ML content.; title passed a strict title check; oEmbed verified.

What you'll learn

A 75-minute video from Carnegie Mellon University Deep Learning: “S24 Recitation 3”.

Programming & CS

Video by Carnegie Mellon University Deep Learning, played through YouTube's embedded player.

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A 83-minute video from Carnegie Mellon University Deep Learning: “IDL Spring 2024: Lecture 3”.

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A 61-minute video from Carnegie Mellon University Deep Learning: “S24 Recitation 5”.

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How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

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Building micrograd, a tiny autograd engine, to understand backpropagation completely.

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Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

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