Thanks. Are there standard measures of hardware performance you could use as estimates? Measurement units change over time. At the moment I'm most familiar with Geekbench multi-core processor scores.
On Thu, Mar 28, 2019 at 09:09:53AM +0200, Ahmed ElSabbagh wrote: > 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 <[1]qu...@laptop.org> wrote: > > Godo discussion, thanks. > > In addition to hardware limits, also try to avoid requiring internet > access. > > -- > James Cameron > [2]http://quozl.netrek.org/ > _______________________________________________ > Sugar-devel mailing list > [3]Sugar-devel@lists.sugarlabs.org > [4]http://lists.sugarlabs.org/listinfo/sugar-devel > > References: > > [1] mailto:qu...@laptop.org > [2] http://quozl.netrek.org/ > [3] mailto:Sugar-devel@lists.sugarlabs.org > [4] http://lists.sugarlabs.org/listinfo/sugar-devel -- James Cameron http://quozl.netrek.org/ _______________________________________________ Sugar-devel mailing list Sugar-devel@lists.sugarlabs.org http://lists.sugarlabs.org/listinfo/sugar-devel
