1:02:50
Academic Discipline
AI & Machine Learning
Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.
10courses86standalone talks213total lectures
Subfields
Deep Learning— Neural network architectures, backpropagation, automatic differentiation, diffusion and generative models.
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1:16:53
AI & ML·Research Seminar·Language Models & NLP · Yann LeCun & Christopher Manning · Stanford University
1:02:56
AI & ML·Conference Talk·Language Models & NLP · Yoshua Bengio · Association for Computing Machinery (ACM)
44:57
CS25 · Transformers United · Lec 1·Deep Learning · Ashish Vaswani, Lucas Beyer & William Fedus · Stanford University
22:43
47:17
11:51:22
1:57:45
1:12:29
Neural Networks: Zero to Hero · Lec 4·Language Models & NLP · Andrej Karpathy · Independent / Eureka Labs
1:55:57
Neural Networks: Zero to Hero · Lec 3·Statistical Learning & Causality · Andrej Karpathy · Independent / Eureka Labs
1:15:39
54:37
1:20:38
45:57
CS25 · Transformers United · Lec 7·Mechanistic Interpretability, Alignment & World Models · Ashish Vaswani, Lucas Beyer & William Fedus · Stanford University
59:34
Neural Networks: Zero to Hero · Lec 6·Language Models & NLP · Andrej Karpathy · Independent / Eureka Labs
56:21
CS25 · Transformers United · Lec 4·Deep Learning · Ashish Vaswani, Lucas Beyer & William Fedus · Stanford University
1:05:44
Convolutional Neural Networks for Visual Recognition · Lec 10·Language Models & NLP · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University
1:13:09
Showing 20 of 23 lectures33.5h shown