AMMI Course "Geometric Deep Learning" - Lecture 7 (Grids) - Joan Bruna

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Full-course playlist 'AMMI Geometric Deep Learning Course - First Edition (2021)' from a curated course list (Geometric Deep Learning - AMMI); uploader is instructor; playlist judged: Full graduate-level lecture series on geometric deep learning taught by its expert instructors, uploaded to the lead instructor's own channel.; title passed a strict title check; oEmbed verified.

What you'll learn

A 67-minute video from Michael Bronstein: “AMMI Course "Geometric Deep Learning" - Lecture 7 (Grids) - Joan Bruna”.

Programming & CS

Video by Michael Bronstein, played through YouTube's embedded player.

1:02:29

AMMI Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna Michael BronsteinProgramming & CS

58:12

AMMI Course "Geometric Deep Learning" - Lecture 12 (Applications & Conclusions) - Michael Bronstein Michael BronsteinProgramming & CS

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1:02:29

AMMI Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna

Michael Bronstein

A 62-minute video from Michael Bronstein: “AMMI Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna”.

58:12

AMMI Course "Geometric Deep Learning" - Lecture 12 (Applications & Conclusions) - Michael Bronstein

Michael Bronstein

A 58-minute video from Michael Bronstein: “AMMI Course "Geometric Deep Learning" - Lecture 12 (Applications & Conclusions) - Michael Bronstein”.

But what is a neural network? | Deep learning chapter 1

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Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

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Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

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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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The Beauty of Bézier Curves

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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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CS50x 2024 - Lecture 1 - C

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CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

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Confreaks65.7K views

Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.

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CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

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Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.