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Depth is not free: past a point, deeper neural networks are harder to train rather than simply better.

Drawn from what Jian Sun and Kaiming He said

Subjectneural networks
What this subject means

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

Interesting
A private bookmark. Not a position, and never counted.

What they actually said

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

  1. Jian Sun Deeper neural networks are more difficult to train. arxiv.org

    Computer vision researcher

    Their wordsDeeper neural networks are more difficult to train.

    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 2nd

  2. Kaiming He Deeper neural networks are more difficult to train. arxiv.org

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

    Their wordsDeeper neural networks are more difficult to train.

    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 1st

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

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