AdaGrad Gradient Descent Method for AI Image Management
Jen-Kuang Fang, Cher‐Min Fong, Peng Yang, Chao-Kai Hung, Wenlong Lu, Chien-Wei Chang · 2020
In this study, we used AdaGrad gradient descent method in optimizer for image deep learning, and compare with Adam gradient descent methods. After processing over six thousand huge database of through silicon via images, AdaGrad has shown a fast convergence and less generalization errors than Adam. The results help Artificial Intelligence for making the management of image judgment more accurate and faster.