Methods for Reducing Losses in Neural Networks

Authors

  • Abdukadirov Bakhtiyor Бухарский государственный медицинский институт, Бухара, Узбекистан

Keywords:

neural network, network training, loss, mean square error, epoch, regularization

Abstract

This article discusses training errors, validation errors, and plotting their correlation that occur when training data in deep neural networks. It is also assumed that the validation error in training deep neural networks is less than the error in training.

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Published

2025-06-11

How to Cite

Bakhtiyor , A. (2025). Methods for Reducing Losses in Neural Networks. Miasto Przyszłości, 61, 137–142. Retrieved from https://miastoprzyszlosci.com.pl/index.php/mp/article/view/6599

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