As for hardware, I am not sure how strong should it be to run a training model for Neural Network or any other classifier.
As for internet access, the training can be done offline no problem, it can be slow depending on the size of the data set they add, it could be a feature to try predict or estimate the amount of time it will take them given a minimum hardware specification, the problem however will be the lack of pictures to use, so a minimum number of photos and categories can be provided offline at any given time, with other pictures and categories available downloadable whenever internet is available. On Thu, 28 Mar 2019 at 02:41, James Cameron <qu...@laptop.org> wrote: > Godo discussion, thanks. > > In addition to hardware limits, also try to avoid requiring internet > access. > > -- > James Cameron > http://quozl.netrek.org/ > _______________________________________________ > Sugar-devel mailing list > Sugar-devel@lists.sugarlabs.org > http://lists.sugarlabs.org/listinfo/sugar-devel >
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