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A comment on The future of deep learning. Parent comment
By the way, this "local-changes-only" approach crops up in many other places too. In CS and nature, because it's just so damn energy-efficient.
For example, check out this (recent, July 2017) paper:
Gomez, Ren, Urtasun & Grosse: "The Reversible Residual Network: Backpropagation Without Storing Activations", https://arxiv.org/abs/1707.04585.
You can't help but think of the ancient programmer's trick for swapping two variables without a temp storage...
a = a + b; b = a - b; a = a - b;
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By the way, this "local-changes-only" approach crops up in many other places too. In CS and nature, because it's just so damn energy-efficient.
For example, check out this (recent, July 2017) paper:
Gomez, Ren, Urtasun & Grosse: "The Reversible Residual Network: Backpropagation Without Storing Activations", https://arxiv.org/abs/1707.04585.
You can't help but think of the ancient programmer's trick for swapping two variables without a temp storage...