Difference between revisions of "Dist vet.m"
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layers=dist_vet(npt_out,npt_acq) | layers=dist_vet(npt_out,npt_acq) | ||
| − | == | + | ==Parameters== |
npt_out - the dimension of the output vector | npt_out - the dimension of the output vector | ||
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==See also== | ==See also== | ||
| − | [[ | + | [[deernet.m]], [[dist_net.m]], [[logsLayer.m]], [[renormLayer.m]], [[Neural network module]] |
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''Version 2.8, authors: [[Ilya Kuprov]], [[Jake Keeley]]'' | ''Version 2.8, authors: [[Ilya Kuprov]], [[Jake Keeley]]'' | ||
Latest revision as of 19:36, 6 June 2026
Returns an untrained distance distribution DEERNet for processing sparsely sampled data.
Syntax
layers=dist_vet(npt_out,npt_acq)
Parameters
npt_out - the dimension of the output vector
npt_acq - the number of points acquired in the
sparsely sampled DEER trace; the input
vector dimension will be five times
this number to accommodate the lego
Outputs
layers - an untrained network layout
See also
deernet.m, dist_net.m, logsLayer.m, renormLayer.m, Neural network module
Version 2.8, authors: Ilya Kuprov, Jake Keeley
