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Framework Implementations

1 explanation from your library.

  1. Gradient Descent Variants and Momentum, at 1:1711:17

    IIT Madras (NPTEL)

    Gradient Descent Variants and Momentum

    “So for instance tensor flow or PyTorch will have many of the algorithms we will see will have them already coded and just have to use that option.”

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    Moment · 1:17

    Gradient Descent Variants and Momentum

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  • Explanation thumbnail

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

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    …/video/upload/so_77.4,c_fill,ar_16:9,w_640,g_auto/f_auto,q_auto/pravaha/ff2c7367-5718-4b86-9d17-04328cf12206.jpg

    so_77.4
    starts at 77.4 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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