twocupv60 OP t1_ir0uhh2 wrote on October 4, 2022 at 2:57 PM

Reply to comment by [deleted] in [D] How do you go about hyperparameter tuning when network takes a long time to train? by twocupv60

Your very last thought seems the most reasonable. I can't imagine shrinking the model. I would surely think this would bias the results.

[deleted] t1_ir0vqku wrote on October 4, 2022 at 3:05 PM

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twocupv60 OP t1_ir0zyni wrote on October 4, 2022 at 3:33 PM

perceptual manifold priors using deep networks

[deleted] t1_ir1xh0y wrote on October 4, 2022 at 7:04 PM

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rehrev t1_ir11ai6 wrote on October 4, 2022 at 3:41 PM

Yea well smaller dataset also.

What you gon do bout it

bernhard-lehner t1_ir40v91 wrote on October 5, 2022 at 4:18 AM

I would recommend to make sure to subsample in a way that you keep important characteristics of your data, so just randomly sampling might not be good enough.