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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Lecture 14: Deep Reinforcement Learning (CS231n)

Lecture 14: Deep Reinforcement Learning (CS231n)

CS231n · Lec 14 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

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

1:04:01

Markov Decision Processes (MDPs) Part 1/2 (CS 188)

Markov Decision Processes (MDPs) Part 1/2 (CS 188)

CS 188 · Lec 8 · Pieter Abbeel · UC Berkeley

Pieter Abbeel UC Berkeley

1:25:00

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