
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