Web: https://www.reddit.com/r/MachineLearning/comments/sgeqf8/d_theory_about_the_tradeoff_between_the_parameter/

Jan. 30, 2022, 5:59 p.m. | /u/qimiaohao

Machine Learning reddit.com

Like assuming I have a very complicated function, i want to use a MLP network to fit it. Then is there a theoretical prediction that at given parameter number what is the best performance or this fitting. Or for example, I want to train a neural network denoiser, for a given parameter number, is there a theoretical performance upper bound. Thank you. Is there any key words. or paper or books recommend.

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