AI & ML·Public Colloquium·Computer Vision & Graphics · Yann LeCun · Association for Computing Machinery (ACM)
37:56
Academic Discipline
AI & Machine Learning
Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.
10courses86standalone talks213total lectures
Subfields
Computer Vision & Graphics— Convolutional networks, visual recognition, 3D geometry, rendering, and computational imaging.
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Convolutional Neural Networks for Visual Recognition · Lec 1·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University
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Convolutional Neural Networks for Visual Recognition · Lec 3·Deep Learning · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University
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Convolutional Neural Networks for Visual Recognition · Lec 4·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University
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Convolutional Neural Networks for Visual Recognition · Lec 11·Deep Learning · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University
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Convolutional Neural Networks for Visual Recognition · Lec 5·Computer Vision & Graphics · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University
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Convolutional Neural Networks for Visual Recognition · Lec 10·Language Models & NLP · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University
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