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Momentum Update Concept

3 explanations from your library.

  1. Gradient Descent Variants and Momentum, at 1:4711:47

    IIT Madras (NPTEL)

    Gradient Descent Variants and Momentum

    “So we will just start off with the momentum update, so what this variant does is to add a fraction of the previous update to the current update, okay.”

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    Moment · 1:47

    Gradient Descent Variants and Momentum

  2. Learning Rate Decay, at 0:2820:28

    IIT Madras (NPTEL)

    Learning Rate Decay

    “This is important because that this learning rate will will dictate how by how much you change your parameters by right because that the magnitude of the update also depends on not only on a gradient of the loss function with respect to the weights but also also on the”

    Closest moment in this session: it teaches the idea without listing it as a key concept.

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    Moment · 0:28

    Learning Rate Decay

  3. Overfitting, Underfitting and Regularization, at 2:0932:09

    Prof. Prabir Kumar Biswas, IIT Kharagpur

    Overfitting, Underfitting and Regularization

    “graphically you find that all these blue dots in these examples they are the training data and the red curve over here,”

    Closest moment in this session: it teaches the idea without listing it as a key concept.

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    Moment · 2:09

    Overfitting, Underfitting and Regularization

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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_106.1,eo_119.9,w_1280,h_720,c_fill/l_video:pravaha:2b17046e-fb2d-4a2c-ad2c-e84a76f8c28a,fl_spl…/so_27.4,eo_44.8,w_1280,h_720,c_fill/fl_layer_apply/fl_layer_apply,g_north_west,x_40,y_40,so_31.2,eo_46.1/f_auto:video,q_auto/pravaha/ff2c7367-5718-4b86-9d17-04328cf12206.mp4

    so_106.1
    starts at 106.1 s · and 5 more like it
    eo_119.9
    ends at 119.9 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:2b17046e-fb…
    another video (pravaha/2b17046e-fb2d-4a2c-ad2c-e84a76f8c28a) 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:e35b9255-31…
    another video (pravaha/e35b9255-3117-4881-98cb-f7b89dc4d1cc) as a layer
    l_text:arial_34_bold:1%20%C…
    text layer “1 · IIT Madras (NPTEL)” · 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_107.6,c_fill,ar_16:9,w_640,g_auto/f_auto,q_auto/pravaha/ff2c7367-5718-4b86-9d17-04328cf12206.jpg

    so_107.6
    starts at 107.6 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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