Nowadays,　various　neural　network　models　are　updated,　and　most　industries　around　the　world　need　deep　learning　algorithms　to　solve　a　lot　of　practical　problems.　In　this　paper,　we　propose　the　task　of　image　recognition　of　ancient　Chinese　characters　based　on　RESNET　network　model,　in　order　to　provide　help　for　students　to　learn　ancient　Chinese　characters.　In　the　work,　the　classification　of　five　ancient　Chinese　characters　is　completed.　The　results　of　RESNET　network　model　are　very　good,　and　the　accuracy　of　the　final　result　of　the　test　set　is　90%.　At　the　same　time,　the　stability　of　the　model　was　tested　after　training,　including　vertical　and　horizontal　flipping　of　the　image　of　the　test　set,　and　adding　noise　to　the　image　of　the　test　set.　Finally,　the　RESNET　network　model　is　summarized　and　its　applicable　environment　is　described.　©　2022　IEEE.