# Are wider nets better given the same number of parameters?

@article{Golubeva2020AreWN, title={Are wider nets better given the same number of parameters?}, author={Anna Golubeva and Behnam Neyshabur and Guy Gur-Ari}, journal={ArXiv}, year={2020}, volume={abs/2010.14495} }

Empirical studies demonstrate that the performance of neural networks improves with increasing number of parameters. In most of these studies, the number of parameters is increased by increasing the network width. This begs the question: Is the observed improvement due to the larger number of parameters, or is it due to the larger width itself? We compare different ways of increasing model width while keeping the number of parameters constant. We show that for models initialized with a random…

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