AI 20 - Deep Learning (DL) I

    Recent Professors
    Tuan Nguyen
    Recent Semesters
    Spring 2027, Fall 2026, Spring 2026
    Class Size
    38–40 students
    Credits
    3
    Prerequisite
    Prerequisite: CIS 096F. Recommended Preparation: MATH 100.
    Spring 2027 Sections
    View Spring 2027 sections of AI 20
    Transfers To
    CSU
    Description
    Introduction of fundamental concepts of Deep Learning (DL) as subset of Machine Learning (ML): Basic practice of DL and its applications, multi-layer neural network architectures in DL models, propagation algorithms, parameters, and collections of data and DL tools/libraries/packages.
    Usually Held
    Tue 6:30pm–8:20pm, Tue 8:30pm–9:20pm, Tue 9:00am–10:50am, Tue 9:00pm–9:50pm