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820 is an incredibly small data size for deep learning. Further, my first instinct in filtering human frequencies would be to just filter them, which has the ad
by janalsncm 4y ago
820 is an incredibly small data size for deep learning. Further, my first instinct in filtering human frequencies would be to just filter them, which has the advantage of being interpretable and straightforward. So I would need to see some justification for using more complicated methods.
- naasking 4y agoThe dataset is mostly in the recorded signal itself I believe. It's probably at least TBs of data for each star.
- aix1 4y ago> 820 is an incredibly small data size for deep learning Whether or not 820 samples is little or a lot depends on the nature of the problem and the amount of information contained in each sample. For example, in 3D medical imagining we routinely reach superhuman performance with training sets of a couple of a hundred images (training from random weights, i.e. with no pretraining).