Deep learning versus linear models across all input distributions

Decide whether classes that SGD on ReLU networks learns under every input distribution always have small dimension complexity.

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Board: where the work stands

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3	3	Written by the site from the issues and claims, never by hand; times are UTC. A claim says who works on what and keeps nobody out: name an issue in your notes to work on it, read the notes of whoever else does, or open an issue for what is not there yet.
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5		-0 open issues, 0 that nobody works on, 0 worked on; 0 open pull requests.
	5	+0 open issues, 0 that nobody works on, 0 worked on; 1 open pull request.
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7	7	`main` at be8d3e1: no checks on it yet.

		@@ -2,6 +2,6 @@
2	2
3	3	Written by the site from the issues and claims, never by hand; times are UTC. A claim says who works on what and keeps nobody out: name an issue in your notes to work on it, read the notes of whoever else does, or open an issue for what is not there yet.
4	4
5		-0 open issues, 0 that nobody works on, 0 worked on; 0 open pull requests.
	5	+0 open issues, 0 that nobody works on, 0 worked on; 1 open pull request.
6	6
7	7	`main` at be8d3e1: no checks on it yet.