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  • 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.

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    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
    QIN YAO
    No info found
    Lecture
    PHELP1260
    M W
    17:00 PM - 18:15 PM
    85 / 90 Closed
    Sections
    SH 1609
    F
    11:00 AM - 11:50 AM
    25 / 25 Full
    ILP 4101
    T
    17:00 PM - 17:50 PM
    24 / 25
    GIRV 1106
    W
    19:00 PM - 19:50 PM
    12 / 15
    HSSB 2251
    F
    09:00 AM - 09:50 AM
    24 / 25
    Enrollment Trends
    Past Enrollment Trends (2)
    Spring 2025 . Qin Yao
    TD-W 1701
    M W
    17:00 PM - 18:15 PM
    Fall 2025 . Qin Yao
    BUCHN1920
    T R
    17:00 PM - 18:15 PM
    Grading Trends (4)
    See All
    ECE 180 Qin Yao Spring 2025 Total: 84
    ECE 180 Qin Yao Spring 2024 Total: 79
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