A Comparison of Regularization Techniques for Shallow Neural Networks Trained on Small Datasets

TUMPACH, Jiří, KALINA, Jan, HOLEŇA, Martin. A Comparison of Regularization Techniques for Shallow Neural Networks Trained on Small Datasets. In: BREJOVÁ, B., CIENCIALOVÁ, L., HOLEŇA, M., MRÁZ, F., PARDUBSKÁ, D., PLÁTEK, M., VINAŘ, T., eds. Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). Aachen: Technical University & CreateSpace Independent Publishing, 2021, s. 94-103. ISSN 1613-0073. Available: https://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper38.pdf