画像認識技術による寛永通宝の分類に関する考察

抄録

Recently, AI technology called deep learning has been attracting attention. Deep learning is a kind of neural network. It is a method of machine learning using a hierarchical neural network with a multi-layer structure. Deep learning has shown great results in image recognition. In this study, we consider the classification of unearthed coins using deep learning. There are many types of unearthed coins to be excavated from a ruin. One of the most famous coins is Kanei-tsuho coins. There are many subdivisions of Kanei-tsuho coins. However, the classification of unearthed coins is even difficult task for numismatics experts. The purpose of this study is to improve the accuracy of identification of unearthed coin images using deep learning.