korrents

Our readingWhat is a korrent?

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

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.

What they actually said

  1. Jian Sun Computer vision researcher We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions. He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org · 10 Dec 2015All 8 korrents from this piece
    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

    10 Dec 2015

    All 8 korrents from this piecethis one is 4th

  2. Kaiming He Associate professor at MIT and first author of the residual networks paper We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions. He, Zhang, Ren & Sun, "Deep Residual Learning for Image Recognition" (arXiv)arxiv.org · 10 Dec 2015All 8 korrents from this piece
    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

    10 Dec 2015

    All 8 korrents from this piecethis one is 3rd

Added to korrents 9 Sept 2026 · How quotes work · Something wrong? Tell us

Do you hold this korrent?Do you also believe this?

I hold this too

Related korrents

Shared subject first, then similar wording. They may agree or disagree.

See this claim on the map