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

Deep Learning— Neural network architectures, backpropagation, automatic differentiation, diffusion and generative models.

7 topics

All Deep Learning Neural Networks & Backpropagation54 AI Safety, Fairness & Alignment20 Generative & Diffusion Models18 Activation Functions2 Autoencoders2 Representation Learning2 Transfer Learning2

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Neural Networks I: Feedforward Architectures & Backpropagation

Neural Networks I: Feedforward Architectures & Backpropagation

AI & ML·Standalone Lecture·Statistical Learning & Causality · Chris Ré · Stanford University

Stanford University

1:20:28

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

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