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These are the best deep learning intro lectures on youtube. Very simple and clear explanation of concepts.
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Lex Fridman is a research scientist at MIT, working on computer vision and deep learning approaches in the context of semi-autonomous vehicles and more generally human-centered artificial intelligence systems. His work focuses on learning-based methods that leverage large-scale, real-world data. Lex received his BS, MS, and Ph.D. from Drexel University where he worked on applications of machine learning, computer vision, and decision fusion techniques in a number of fields including robotics, active authentication, and activity recognition. Before joining MIT, Lex was at Google working on deep learning approaches to large-scale behavior-based authentication. Lex is a recipient of a CHI-17 best paper award and a CHI-18 best paper honorable mention award.
Lex Fridman Courses
MIT Deep Learning for Self-Driving Cars (2019)
- Provider: YouTube
- Time: 21h
Lex Fridman's Core Subjects
- machine learning