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A layer should learn a residual with reference to its own input rather than an unreferenced function, which is what makes great depth trainable.

Drawn from what Jian Sun and Kaiming He said

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What they actually said

Word for word, with the source under each one. They did not write this page.

  1. Jian Sun We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions. arxiv.org

    Computer vision researcher

    Their wordsWe explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions.

    Where this was said

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

    All 8 korrents from this piecethis one is 4th

  2. Kaiming He We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions. arxiv.org

    Associate professor at MIT and first author of the residual networks paper

    Their wordsWe explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions.

    Where this was said

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

    All 8 korrents from this piecethis one is 3rd

Added to korrents 10 Dec 2015 · How quotes work · Something wrong? Tell us

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