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HomeMIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018Lecture 36: Alan Edelman and Julia Language
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018

Lecture 36: Alan Edelman and Julia Language

38:11

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