Difference between revisions of "Dist net.m"

Revision as of 20:49, 15 June 2021

Returns an untrained distance distribution DEERNet for processing fully sampled data.

    layers=dist_net(npoints)

    npoints - dimension of the input and the
              output vector

    layers  - an untrained network layout

Revision as of 20:49, 15 June 2021 (view source) Kuprov (talk \| contribs) (Created page with "{{DISPLAYTITLE:function.m}} __NOTOC__ Returns an untrained distance distribution DEERNet for processing fully sampled data. ==Syntax== layers=dist_net(npoints) ==Argum...")		Revision as of 20:49, 15 June 2021 (view source) Kuprov (talk \| contribs) Newer edit →
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−	{{DISPLAYTITLE:~~function~~.m}} __NOTOC__	+	{{DISPLAYTITLE:dist_net.m}} __NOTOC__
	Returns an untrained distance distribution DEERNet for processing fully sampled data.		Returns an untrained distance distribution DEERNet for processing fully sampled data.