AI & Machine Learning

Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.

8 courses · 111 standalone talks · 283 total lectures

All AI & ML Language Models & NLP (114)Deep Learning (87)Statistical Learning & Causality (60)Algorithms & Data Structures (43)Reinforcement Learning (38)Complex Systems & Scaling (21)Neuroscience & Cognition (19)Probability & Information Theory (17)machine learning (15)Moral & Political Philosophy (14)

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Chapters · Duration

CS231n Winter 2016: Lecture 1 - Introduction to Convolutional Neural Networks

CS231n Winter 2016: Lecture 1 - Introduction to Convolutional Neural Networks

AI & ML·Standalone Lecture · Andrej Karpathy · Stanford University

Andrej Karpathy Stanford University

1:19:08

Lecture 18: Frontiers (CS224R)

Lecture 18: Frontiers (CS224R)

AI & ML·Standalone Lecture · Chelsea Finn · Stanford University

Chelsea Finn Stanford University

1:10:49

Learning Representations: A Challenge for Learning Theory, COLT 2013

Learning Representations: A Challenge for Learning Theory, COLT 2013

Theory & Algos·Conference Talk · Yann LeCun · New York University

Yann LeCun New York University

54:33

From System 1 to System 2 Deep Learning

From System 1 to System 2 Deep Learning

AI & ML·Conference Talk · Yoshua Bengio · MILA, Université de Montréal

Yoshua Bengio MILA, Université de Montréal

56:36

Geoffrey Hinton: The Deep Learning Revolution (Turing Award Lecture)

Geoffrey Hinton: The Deep Learning Revolution (Turing Award Lecture)

AI & ML·Public Colloquium · Geoffrey Hinton · ACM

Geoffrey Hinton ACM

32:28

Yann LeCun: The Deep Learning Revolution: The Sequel (Turing Award Lecture)

Yann LeCun: The Deep Learning Revolution: The Sequel (Turing Award Lecture)

AI & ML·Public Colloquium · Yann LeCun · ACM

37:56

Backpropagation and Neural Networks I

Backpropagation and Neural Networks I

AI & ML·Standalone Lecture · Andrej Karpathy · Stanford University

Andrej Karpathy Stanford University

1:19:39

Recurrent Neural Networks, Transformers, and Attention

Recurrent Neural Networks, Transformers, and Attention

AI & ML·Standalone Lecture · Ava Amini · MIT

1:02:50

Turing Lecture: Deep Learning for AI and System-2 Reasoning

Turing Lecture: Deep Learning for AI and System-2 Reasoning

AI & ML·Conference Talk · Yoshua Bengio · ACM / Mila

Yoshua Bengio ACM / Mila

44:57

On the Measure of Intelligence: Program Synthesis and Fluid Abstraction

On the Measure of Intelligence: Program Synthesis and Fluid Abstraction

AI & ML·Public Colloquium · François Chollet · ARC Prize / Google

François Chollet ARC Prize / Google

1:10:44

Deep Dive into Large Language Models: Pretraining to RLHF

Deep Dive into Large Language Models: Pretraining to RLHF

AI & ML·Standalone Lecture · Andrej Karpathy · Eureka Labs

Andrej Karpathy Eureka Labs

3:31:23

Digital vs. Biological Intelligence (Vienna Gödel Lecture)

Digital vs. Biological Intelligence (Vienna Gödel Lecture)

AI & ML·Public Colloquium · Geoffrey Hinton · University of Toronto

Geoffrey Hinton University of Toronto

1:20:05

Stanford CS224N: NLP with Deep Learning | Winter 2021 | Lecture 1 - Intro & Word Vectors

Stanford CS224N: NLP with Deep Learning | Winter 2021 | Lecture 1 - Intro & Word Vectors

AI & ML·Standalone Lecture · Christopher Manning · Stanford University

Christopher Manning Stanford University

1:24:27

Spelled-Out Intro to Neural Networks & Backpropagation: Building micrograd

Spelled-Out Intro to Neural Networks & Backpropagation: Building micrograd

NN-Z2H · Lec 1 · Andrej Karpathy · Eureka Labs

Andrej Karpathy Eureka Labs

2:34:45

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

CS231n · Lec 1 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

57:56

Let's Build GPT: From Scratch, in Code, Spelled Out

Let's Build GPT: From Scratch, in Code, Spelled Out

NN-Z2H · Lec 7 · Andrej Karpathy · Eureka Labs

Andrej Karpathy Eureka Labs

1:56:20

How I Learned to Stop Worrying and Love the Transformer (CS25)

How I Learned to Stop Worrying and Love the Transformer (CS25)

CS25 · Lec 9 · Ashish Vaswani · Stanford University

Ashish Vaswani Stanford University

1:20:38

Computing, Life, and Intelligence (SFI-CX)

Computing, Life, and Intelligence (SFI-CX)

SFI-CX · Lec 9 · Blaise Agüera y Arcas · Santa Fe Institute

Blaise Agüera y Arcas Santa Fe Institute

1:23:05

Lecture 16: Radial Basis Functions (CS 156)

Lecture 16: Radial Basis Functions (CS 156)

CS 156 · Lec 16 · Yaser Abu-Mostafa · Caltech

Yaser Abu-Mostafa Caltech

1:22:08

Lecture 10: Neural Networks (CS 156)

Lecture 10: Neural Networks (CS 156)

CS 156 · Lec 10 · Yaser Abu-Mostafa · Caltech

Yaser Abu-Mostafa Caltech

1:25:16

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