Lecture-02: Mathematics of Generative Modelling

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Full-course playlist 'Mathematics of Generative Modelling (Spring 2023)' from a curated course list (Mathematics of Generative Modelling (Spring 2024) - IIIT Hyderabad (2023)); uploader is instructor; playlist judged: Full-length, sequential university lecture series on mathematical foundations of generative models, taught biweekly to UG/PG students, appears uploaded by the instructor's own channel.; title passed a strict title check; oEmbed verified.

What you'll learn

A 89-minute video from OptiMaL : “Lecture-02: Mathematics of Generative Modelling”.

Programming & CS

Video by OptiMaL , played through YouTube's embedded player.

1:43:09

Lecture 17: Mathematics of Generative Modelling OptiMaL Programming & CS

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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CS50x 2024 - Lecture 1 - C CS50Programming & CS

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Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich ConfreaksProgramming & CS

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CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS

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RailsConf 2014 - All the Little Things by Sandi Metz ConfreaksProgramming & CS

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1:43:09

Lecture 17: Mathematics of Generative Modelling

OptiMaL

A 103-minute video from OptiMaL : “Lecture 17: Mathematics of Generative Modelling”.

57:36

Lecture-04: Mathematics of Generative Modelling

OptiMaL

A 58-minute video from OptiMaL : “Lecture-04: Mathematics of Generative Modelling”.

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

3Blue1Brown

Intro25.1M views

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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Andrej Karpathy

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

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

Intro11.6M views

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

The spelled-out intro to neural networks and backpropagation: building micrograd

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

24:26

The Beauty of Bézier Curves

Freya Holmér

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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.

2:27:41

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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Ben Eater

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

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich

Confreaks

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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.

2:04:55

CS50x 2024 - Lecture 0 - Scratch

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

RailsConf 2014 - All the Little Things by Sandi Metz

Confreaks

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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.