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TensorFlow Keras Environment

1 explanation from your library.

  1. Underfitting and Overfitting in Practice, at 2:0912:09

    NPTEL: Practical ML with TensorFlow

    Underfitting and Overfitting in Practice

    “We will be using tf dot keras api as in earlier colab. So, that is why we are importing keras, we are using numpy and matplotlib for data manipulation”

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    Moment · 2:09

    Underfitting and Overfitting in Practice

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  • Explanation thumbnail

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

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    …/video/upload/so_129.1,c_fill,ar_16:9,w_640,g_auto/f_auto,q_auto/pravaha/ff809418-9768-43d9-ab11-dd64c8941e4d.jpg

    so_129.1
    starts at 129.1 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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