3unit(s) Covers a selection of classic machine learning techniques including backpropagation and several currently popular neural networking and deep learning architectures. Hands-on lab exercises are a significant part of the course. A major project is required.
Prerequisite(s):CS 146 (with a grade of C- or better). Grading: Letter Graded