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@barray on Sat Jul 24 08:15:55 UTC 2021 said: &e
Random #brainfart : The current state of #neuralnetworks is completely #inaccurate for how #neurons actually operate. We should rename them to 'neuron-inspired networks' (NIN). One of the largest issues for me is that each neuron's affect on the processing of information is *overweighted* - i.e. there is no local #spatial #redundancy built into the #network structure. I'm not devaluing the field (it clearly produces results) and I'm not suggesting there is a better approach, just that it's not there yet.
@barray on Wed Jul 21 19:32:05 UTC 2021 said: &e
#hackaday give a nice overview of #guassianblur https://hackaday.com/2021/07/21/what-exa.. In general, #kernels are an excellent way of processing #spatial information and #data ... The entire speed-up a #cnn offers comes from #kernel processing.