Advanced Photonics, Volume. 6, Issue 5, 056006(2024)
Nested deep transfer learning for modeling of multilayer thin films
[3] K. Yao, Y. Zheng. Nanophotonics and Machine Learning: Concepts, Fundamentals, and Applications(2023).
[5] E. Alpaydin. Introduction to Machine Learning(2014).
[50] Ö. Batur Dİnler, N. Aydin. An optimal feature parameter set based on gated recurrent unit recurrent neural networks for speech segment detection. Appl. Sci., 10, 1273(2020).
[52] F. Informatik et al. Gradient flow in recurrent nets: the difficulty of learning long-term dependencies. A Field Guide to Dynamical Recurrent Neural Networks, 237-243(2001).
[56] M. Born, E. Wolf. Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light(1999).
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Rohit Unni, Kan Yao, Yuebing Zheng, "Nested deep transfer learning for modeling of multilayer thin films," Adv. Photon. 6, 056006 (2024)
Category: Research Articles
Received: Mar. 31, 2024
Accepted: Sep. 11, 2024
Posted: Sep. 12, 2024
Published Online: Oct. 24, 2024
The Author Email: Zheng Yuebing (zheng@austin.utexas.edu)