The spelled-out intro to neural networks and backpropagation: building micrograd
Andrej Karpathy
Recommended by 17 •
Classic
Play allMath for machine learning
47 videos • 32 hr 57 min
Part of AI and machine learning. Ordered by how many people recommended each video and for how long; 15 are classics.
1 2 3 Transformers, the tech behind LLMs | Deep Learning Chapter 5
3Blue1Brown
Recommended by 14 •
Recent pick4 5 6 RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
Google DeepMind
Recommended by 10 •
Classic7 8 9 Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
3Blue1Brown
Recommended by 6 •
Classic10 11 12 13 Attention in transformers, step-by-step | Deep Learning Chapter 6
3Blue1Brown
Recommended by 5 •
Recent pick14 15 Gradient descent, how neural networks learn | Deep Learning Chapter 2
3Blue1Brown
Recommended by 4 •
Classic16 The Simple Essence of Automatic Differentiation - Conal Elliott
Microsoft Research
Recommended by 3 •
Classic17 18 19 20 21 22 Efficient Bayesian inference with Hamiltonian Monte Carlo -- Michael Betancourt (Part 1)
MLSS Iceland 2014
Recommended by 3 •
Classic23 24 25 26 27 28 29 30 31 32 Lecture 2 | The Universal Approximation Theorem
Carnegie Mellon University Deep Learning
Recommended by 1 •
33 Bayes' Theorem - Conditional Probability Explained using Drone case
Vinsloev Academy
Recommended by 2 •
Hidden gem34 35 36 But how do AI images and videos actually work? | Guest video by Welch Labs
3Blue1Brown
Recommended by 1 •
Recent pick37 38 Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI | Lex Fridman Podcast #75
Lex Fridman
Recommended by 1 •
39 40 41 42 43 44 Understanding the Structure of Reasoning in Language Models
Simons Institute for the Theory of Computing
Top upload •
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