Academic Discipline

AI & Machine Learning

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

10courses86standalone talks213total lectures

Subfields

All AI & ML213 Deep Learning80 Language Models & NLP73 Reinforcement Learning35 Statistical Learning & Causality35 Computer Vision & Graphics28 Mechanistic Interpretability, Alignment & World Models27 Active Inference, Cybernetics & Artificial Life2

Computer Vision & Graphics— Convolutional networks, visual recognition, 3D geometry, rendering, and computational imaging.

1 topics

All Computer Vision & Graphics Convolutional Networks & Vision26

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

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

AI & ML·Public Colloquium·Computer Vision & Graphics · Yann LeCun · Association for Computing Machinery (ACM)

Association for Computing Machinery (ACM)

37:56

Introduction to Convolutional Neural Networks for Visual Recognition

Introduction to Convolutional Neural Networks for Visual Recognition

Convolutional Neural Networks for Visual Recognition · Lec 1·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

57:56

Innate Priors in Deep Learning Systems

Innate Priors in Deep Learning Systems

AI & ML·Research Seminar·Language Models & NLP · Yann LeCun & Christopher Manning · Stanford University

Yann LeCun&Christopher Manning

Stanford University

1:02:56

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

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

AI & ML·Conference Talk·Language Models & NLP · Yoshua Bengio · Association for Computing Machinery (ACM)

Association for Computing Machinery (ACM)

44:57

Image Classification

Image Classification

Convolutional Neural Networks for Visual Recognition · Lec 2·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

59:31

Loss Functions and Optimization

Loss Functions and Optimization

Convolutional Neural Networks for Visual Recognition · Lec 3·Deep Learning · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:14:40

Architectures: Graphs

Architectures: Graphs

6.7960 · Deep Learning · Lec 5·Computer Vision & Graphics · Phillip Isola · MIT

1:21:14

Architectures: Grids

Architectures: Grids

6.7960 · Deep Learning · Lec 4·Computer Vision & Graphics · Sara Beery · MIT

1:23:57

Introduction to Neural Networks

Introduction to Neural Networks

Convolutional Neural Networks for Visual Recognition · Lec 4·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:13:59

Building makemore Part 5: Hierarchical Dilated Causal Convolutions (WaveNet)

Building makemore Part 5: Hierarchical Dilated Causal Convolutions (WaveNet)

Neural Networks: Zero to Hero · Lec 6·Language Models & NLP · Andrej Karpathy · Independent / Eureka Labs

Andrej Karpathy

Independent / Eureka Labs

56:21

Detection and Segmentation

Detection and Segmentation

Convolutional Neural Networks for Visual Recognition · Lec 11·Deep Learning · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:14:26

Convolutional Neural Networks

Convolutional Neural Networks

Convolutional Neural Networks for Visual Recognition · Lec 5·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:08:56

Recurrent Neural Networks

Recurrent Neural Networks

Convolutional Neural Networks for Visual Recognition · Lec 10·Language Models & NLP · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:13:09

CNN Architectures

CNN Architectures

Convolutional Neural Networks for Visual Recognition · Lec 9·Deep Learning · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:17:40

Training Neural Networks I

Training Neural Networks I

Convolutional Neural Networks for Visual Recognition · Lec 6·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:20:19

Generative Models

Generative Models

Convolutional Neural Networks for Visual Recognition · Lec 13·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:17:41

Training Neural Networks II

Training Neural Networks II

Convolutional Neural Networks for Visual Recognition · Lec 7·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:15:30

Deep Learning Software

Deep Learning Software

Convolutional Neural Networks for Visual Recognition · Lec 8·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:18:07

Adversarial Examples and Adversarial Training

Adversarial Examples and Adversarial Training

Convolutional Neural Networks for Visual Recognition · Lec 16·Computer Vision & Graphics · Ian Goodfellow · Stanford University

Stanford University

1:21:46

Visualizing and Understanding

Visualizing and Understanding

Convolutional Neural Networks for Visual Recognition · Lec 12·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:15:48

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