AI & Machine Learning

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

8 courses · 111 standalone talks · 283 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

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

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

AI & ML·Public Colloquium · Geoffrey Hinton · Association for Computing Machinery (ACM)

Geoffrey Hinton Association for Computing Machinery (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 · Association for Computing Machinery (ACM)

Yann LeCun Association for Computing Machinery (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

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

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

Lecture 7: Neural Networks 1 (Architecture) (CS229)

Lecture 7: Neural Networks 1 (Architecture) (CS229)

AI & ML·Standalone Lecture · Chris Ré · Stanford University

Chris Ré Stanford University

1:20:28

David Duvenaud: Reflecting on Neural ODEs at NeurIPS 2019

David Duvenaud: Reflecting on Neural ODEs at NeurIPS 2019

AI & ML·Conference Talk · David Duvenaud · University of Toronto

David Duvenaud University of Toronto

21:02

Lecture 01: Introduction to Deep Learning (6.7960)

Lecture 01: Introduction to Deep Learning (6.7960)

6.7960 · Lec 1 · Sara Beery · MIT

1:00:51

Lecture 4 | Introduction to Neural Networks

Lecture 4 | Introduction to Neural Networks

CS231n · Lec 4 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

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

1:13:59

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