UR-65 CNN CIFAR Image Identification

    Location

    https://ccse.kennesaw.edu/computing-showcase/cday-programs/spring2021program.php

    Streaming Media

    Document Type

    Event

    Start Date

    26-4-2021 5:00 PM

    Description

    Reducing the learning rate of a CNN can positively affect the validation accuracy of a machine learning model. Dropping out nodes from different layers can further delay overfitting from happening. Validation loss decreases over more epochs, but it must be cut when it reaches its minimum value.
    Advisors(s): Dr. Dan Lo
    Topic(s): Artificial Intelligence

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    Apr 26th, 5:00 PM

    UR-65 CNN CIFAR Image Identification

    https://ccse.kennesaw.edu/computing-showcase/cday-programs/spring2021program.php

    Reducing the learning rate of a CNN can positively affect the validation accuracy of a machine learning model. Dropping out nodes from different layers can further delay overfitting from happening. Validation loss decreases over more epochs, but it must be cut when it reaches its minimum value.
    Advisors(s): Dr. Dan Lo
    Topic(s): Artificial Intelligence