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Overfitting

3 explanations from your library, 3 of them named by the sessions' own Study Packs.

  1. Overfitting, Underfitting and Regularization, at 0:0010:00

    Prof. Prabir Kumar Biswas, IIT Kharagpur

    Overfitting, Underfitting and Regularization

    “underfitting problem. See overfitting occurs when a machine learning algorithms captures or fits or fits the training data too well.”

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    Moment · 0:00

    Overfitting, Underfitting and Regularization

    Full session
  2. The Bias–Variance Trade-off, at 2:2922:29

    IIT Madras (NPTEL)

    The Bias–Variance Trade-off

    “when you are done with the fit you would expect the red curve to lie close to the green curve but in this case in between the samples it is actually off, so even though with the higher degree polynomial we are able to fit every point exactly so that our fitting”

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    Moment · 2:29

    The Bias–Variance Trade-off

    Full session
  3. Underfitting and Overfitting in Practice, at 0:1030:10

    NPTEL: Practical ML with TensorFlow

    Underfitting and Overfitting in Practice

    “You know that overfitting happens when our model has excess capacity to memorize the entire training data.”

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    Moment · 0:10

    Underfitting and Overfitting in Practice

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  • Compare reel

    3 explanations of this concept, from different sessions, spliced into one video with fl_splice. Each clip is labelled with its speaker.

    Open ↗

    …/video/upload/so_0,eo_15.8,w_1280,h_720,c_fill/l_video:pravaha:56db377d-a244-4533-b61d-2be05387727b,fl_spl…/so_147.7,eo_165.6,w_1280,h_720,c_fill/fl_layer_apply/fl_layer_apply,g_north_west,x_40,y_40,so_33.7,eo_46.1/f_auto:video,q_auto/pravaha/e35b9255-3117-4881-98cb-f7b89dc4d1cc.mp4

    so_0
    starts at 0 s · and 5 more like it
    eo_15.8
    ends at 15.8 s · and 5 more like it
    w_1280
    1280 px wide · and 2 more like it
    h_720
    720 px tall · and 2 more like it
    c_fill
    crops to fill the frame exactly · and 2 more like it
    l_video:pravaha:56db377d-a2…
    another video (pravaha/56db377d-a244-4533-b61d-2be05387727b) as a layer
    fl_splice
    joins the next clip onto the end of this one · and 1 more like it
    fl_layer_apply
    places the layer defined just before · and 4 more like it
    l_video:pravaha:ff809418-97…
    another video (pravaha/ff809418-9768-43d9-ab11-dd64c8941e4d) as a layer
    l_text:arial_34_bold:1%20%C…
    text layer “1 · Prof. Prabir Kumar Biswas” · and 2 more like it
    co_white
    text colour white · and 2 more like it
    b_rgb:0f766ecc
    background #0f766ecc · and 2 more like it
    g_north_west
    anchored to the top-left corner · and 2 more like it
    x_40
    40 px from the side · and 2 more like it
    y_40
    40 px from the edge · and 2 more like it
    f_auto:video
    best format for each device (e.g. AV1, WebM, MP4, WebP)
    q_auto
    AI-chosen quality: smallest file that still looks right

  • Explanation thumbnail

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

    Open ↗

    …/video/upload/so_0.1,c_fill,ar_16:9,w_640,g_auto/f_auto,q_auto/pravaha/e35b9255-3117-4881-98cb-f7b89dc4d1cc.jpg

    so_0.1
    starts at 0.1 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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