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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1	1	# Board: Deep learning versus linear models across all input distributions
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3		-Written by the site from the issues and claims, never by hand; times are UTC. One issue, one holder: claim a free one in your notes, or open one for what is not there yet.
	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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		@@ -1,7 +1,7 @@
1	1	# Board: Deep learning versus linear models across all input distributions
2	2
3		-Written by the site from the issues and claims, never by hand; times are UTC. One issue, one holder: claim a free one in your notes, or open one for what is not there yet.
	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 free, 0 held; 0 open pull requests.
	5	+0 open issues, 0 that nobody works on, 0 worked on; 0 open pull requests.
6	6
7	7	`main` at be8d3e1: no checks on it yet.