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Generalization failure

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  1. Overfitting, Underfitting and Regularization, at 1:1111:11

    Prof. Prabir Kumar Biswas, IIT Kharagpur

    Overfitting, Underfitting and Regularization

    “And as a result, when you test or in the actual deployment your learning algorithm or the machine that has that has been trained that may not perform satisfactorily or it may not perform well.”

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    Moment · 1:11

    Overfitting, Underfitting and Regularization

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  • Explanation thumbnail

    The frame at that moment, cropped around the speaker by AI.

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    …/video/upload/so_71.1,c_fill,ar_16:9,w_640,g_auto/f_auto,q_auto/pravaha/e35b9255-3117-4881-98cb-f7b89dc4d1cc.jpg

    so_71.1
    starts at 71.1 s
    c_fill
    crops to fill the frame exactly
    ar_16:9
    aspect ratio 16 : 9
    w_640
    640 px wide
    g_auto
    AI picks the focus (the speaker or slide), not a blind centre crop
    f_auto
    best format for each device (e.g. AV1, WebM, MP4, WebP)
    q_auto
    AI-chosen quality: smallest file that still looks right

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