korrents

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The depth of a representation, not any particular architecture trick, is what most visual recognition tasks turn on.

Drawn from what Jian Sun and Kaiming He said

Subjectsneural networkscomputer vision
What these subjects mean

neural networks The architecture almost all modern machine learning is built on, and what changes when it gets deeper.

computer vision Teaching a machine to interpret images: recognising, classifying and organising what is in a picture.

What they actually said

  1. Jian Sun Computer vision researcher The depth of representations is of central importance for many visual recognition tasks. He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org · 10 Dec 2015All 8 korrents from this piece
    Their wordsThe depth of representations is of central importance for many visual recognition tasks.

    Where this was said

    ↗He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org

    10 Dec 2015

    All 8 korrents from this piecethis one is 8th

  2. Kaiming He Associate professor at MIT and first author of the residual networks paper The depth of representations is of central importance for many visual recognition tasks. He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org · 10 Dec 2015All 8 korrents from this piece
    Their wordsThe depth of representations is of central importance for many visual recognition tasks.

    Where this was said

    ↗He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org

    10 Dec 2015

    All 8 korrents from this piecethis one is 7th

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