I need to match spiking data collected from electrophysiological experiments on mice to neural network model with tunable parameters. The aim is to identify the parameter ranges pertaining to datasets from the experiments
Hi, the site below is interesting:
https://www.datacamp.com/courses/deep-learning-in-python?utm_source=adwords_ppc&utm_campaignid=999527702&utm_adgroupid=51163769884&utm_device=c&utm_keyword=&utm_matchtype=&utm_network=d&utm_adpostion=none&utm_creative=236116665531&utm_targetid=aud-299261629654&utm_loc_interest_ms=&utm_loc_physical_ms=1001593&gclid=EAIaIQobChMIiqbFkMf62AIVSSCHCh0sjg77EAEYASAAEgLII_D_BwE
Hope this helps.
Hi, visit the following site:
https://deeplearning4j.org/deeplearningforbeginners.html
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