“…Based on the gaussian process (GP; Neal, 1995;Lee et al, 2018;de G. Matthews, Rowland, Hron, Turner, & Ghahramani, 2018) property of deep neural networks, Jacot et al (2018) introduce the neural tangent kernel and describe the exact dynamics of a fully connected network's output through gradient flow training in an overparameterized situation. This initial work has been followed by a series of studies, including the exacter description (Arora et al, 2019;Lee et al, 2019), generalization for different initialization (Liu, Zhu, & Belkin, 2020;Sohl-Dickstein, Novak, Schoenholz, & Lee, 2020), and NTK for different structures of neural networks (Arora et al, 2019;Li et al, 2021;Luo, Xu, Ma, & Zhang, 2021).…”