Difference between revisions of "Dist net.m"
(Normalise sequential blank lines) |
|||
| Line 18: | Line 18: | ||
==See also== | ==See also== | ||
[[Neural network module]], [[deernet.m]] | [[Neural network module]], [[deernet.m]] | ||
| − | |||
''Version 2.8, authors: [[Ilya Kuprov]], [[Jake Keeley]], [[Tajwar Choudhury]]'' | ''Version 2.8, authors: [[Ilya Kuprov]], [[Jake Keeley]], [[Tajwar Choudhury]]'' | ||
Revision as of 12:24, 25 April 2026
Returns an untrained distance distribution DEERNet for processing fully sampled data.
Syntax
layers=dist_net(np_in,np_out)
Arguments
np_in - dimension of the input vector
np_out - dimension of the output vector
Outputs
layers - an untrained network layout
See also
Neural network module, deernet.m
Version 2.8, authors: Ilya Kuprov, Jake Keeley, Tajwar Choudhury