• Courses
  • ECE
  • ECE 180

    • INTRODUCTION TO DEEP LEARNING . ECE 180

    Introduction to multilayered neural networks, early models of perceptrons and associative memory; back-propagation learning; convolutional neural networks; recurrent neural networks; attention models; applications to natural language processing and computer vision.

    Prerequisites: Open to EE, Computer Engineering and Computer Science with upper-division standing.

    4

    Units

    Optional

    Grading

    1, 2, 3

    Passtime

    Upper division only

    Level Limit

    Engineering

    College
    These majors only ee cmpen cmpsc
    Instructors
    T B A
    No info found
    Lecture
    BUCHN1940
    M W
    15:30 PM - 16:45 PM
    0 / 120 Closed
    Sections
    ILP 4207
    M
    17:00 PM - 17:50 PM
    0 / 30
    GIRV 2115
    F
    11:00 AM - 11:50 AM
    0 / 30
    ILP 3103
    R
    19:00 PM - 19:50 PM
    0 / 30
    ILP 3207
    W
    19:00 PM - 19:50 PM
    0 / 30
    Enrollment Trends
    Past Enrollment Trends (3)
    See All
    Spring 2024 . Qin Yao
    PHELP1260
    M W
    17:00 PM - 18:15 PM
    Spring 2025 . Qin Yao
    TD-W 1701
    M W
    17:00 PM - 18:15 PM
    Grading Trends (5)
    See All
    ECE 180 Qin Yao Fall 2025 Total: 81
    ECE 180 Qin Yao Spring 2025 Total: 84
    You Might Also Like
    ECE 181
    0 / 120 Enrolled
    Introduction to Computer Vision
    B. S. Manjunath 3.5
    T R
    08:00 AM - 09:15 AM
    ECE 188A
    0 / 97 Enrolled
    Senior Electrical Engineering Project
    Ilan Ben-Yaacov 3.9
    M W
    12:30 PM - 13:45 PM
    ECE 189A
    0 / 90 Enrolled
    Senior Computer Systems Project
    Yogananda Isukapalli 4.8
    T R
    12:30 PM - 13:45 PM
    ECE 192
    0 / 10 Enrolled
    Projects in Electrical and Computer Engineering
    T B A
    ECE 193
    0 / 10 Enrolled
    Internship in Industry
    T B A
    ECE 194A
    0 / 10 Enrolled
    Group Studies in Electrical and Computer Engineering
    Loai Salem 2.7
    T R
    17:00 PM - 18:50 PM