Multi-objective parametric synthesis of loss functions in neural networks with evolutionary algorithms
The loss function is a fundamental aspect of neural network training and by choosing a suitable one, better results can be achieved. In classification problems, the cross-entropy loss function is almost exclusively used. In this paper the loss function represented by Taylor's series which are o...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
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Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_04010.pdf |