supported by Project for Innovation Team(Cultivation)of Yunnan Province under Grant No.202005AE160006;Key Project of Yunnan Provincial Science and Technology Department and Yunnan University under Grant No.2018FY001014。
The newly appeared G-SGD algorithm can only heuristically find the basis path set in a simple neural network,so its generalization to a more practical network is hindered.From the perspective of graph theory,the Basis...
supported by the National Nature Science Foundation of China under Grant No.11601471;Project for Innovation Team(Cultivation)of Yunnan Province under Grant No.202005AE160006;Key Project of Yunnan Provincial Science and Technology Department and Yunnan University under Grant No.2018FY001014。
The G-SGD algorithm significantly outperforms the conventional SGD algorithm in ReLU neural networks by adopting the basis path set.However,how the inner mechanism of basis paths works remains mysterious,and the G-SGD...
A number of solution concepts of normal-form games have been proposed in the literature on subspaces of action profiles that have Nash type stability. While the literature mainly focuses oil the minimal of such stable...