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Re:Scaling Down Deep Learning by unixlikeposting on Thursday December 22, 2022 @03:33PM (#34098276)
>The ideal toy dataset should be procedurally generated so that researchers can smoothly vary parameters such as background noise, translation, and resolution.

It's been a minute since I last touched ML, but that seems like a fairly extreme claim. Am I wrong in thinking this?

Re:Scaling Down Deep Learning by pkghost on Thursday December 22, 2022 @04:47PM (#34099228)
What's extreme about it? I'm new to ML, but this seems great from a testing and verification perspective. I actually feel like Christmas came early, here, because I'm eager to explore novel model architectures, and having a small and easily manipulable dataset to experiment with seems perfect for that.