no code implementations • 26 Jul 2023 • Chao Zhang, Xinyu Chen, Wensheng Li, Lixue Liu, Wei Wu, DaCheng Tao
In this paper, we measure the linear separability of hidden layer outputs to study the characteristics of deep neural networks.
1 code implementation • 18 May 2022 • Wensheng Li, Chao Zhang, Chuncheng Wang, Hanting Guan, DaCheng Tao
Physics-informed neural networks (PINNs) provide a deep learning framework for numerically solving partial differential equations (PDEs), and have been widely used in a variety of PDE problems.