Lecture 36: Alan Edelman and Julia Language
Description
Professor Alan Edelman gives this guest lecture on the Julia Language, which was designed for high-performance computing. He provides an overview of how Julia can be used in machine learning and deep learning applications.
Summary
Automatic differentiation of each operation in Julia
Key to deep learning: Optimizing many weights
Speed and simplicity: Computing derivatives and Jacobian matrices
Related sections in textbook: III.3 and VII.2
Instructors: Prof. Alan Edelman and Prof. Gilbert Strang
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As Taught In: | Spring 2018 |
Level: | Undergraduate |
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Course Features
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AV lectures - Video
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Assignments - problem sets (no solutions)
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AV special element audio - Podcast