Grad-CAM:Understanding AI Models  

作　　者：Shuihua Wang Yudong Zhang 

机构地区：[1]School of Computing and Mathematical Sciences,University of Leicester,Leicester,LE17RH,UK [2]Department of Information Systems,King Abdulaziz University,Jeddah,21589,Saudi Arabia

出　　处：《Computers, Materials & Continua》2023年第8期1321-1324,共4页计算机、材料和连续体（英文）

基　　金：Sino-UK Education Fund(OP202006);Royal Society(RP202G0230);MRC(MC_PC_17171);BHF(AA/18/3/34220);Hope Foundation for Cancer Research(RM60G0680);GCRF(P202PF11);BBSRC(RM32G0178B8);Sino-UK Industrial Fund(RP202G0289);Data Science Enhancement Fund(P202RE237);LIAS(P202ED10&P202RE969);Fight for Sight(24NN201).

摘　　要：Artificial intelligence(AI)[1,2]allows computers to think and behave like humans,so it is now becoming more and more influential in almost every field[3].Hence,users in businesses,industries,hospitals[4],etc.,need to understand how these AI models work[5]and the potential impact of using them.

关 键 词：Artificial intelligence Grad-CAM deep learning convolutional neural networks CLASSIFICATION LOCATION explainable 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]