{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deep-convolutional-network-for-handwritten","title":"Deep Convolutional Network for Handwritten Chinese Character Recognition","arxiv_id":null,"date":"2015-01-01","proceeding":"standford.edu 2015 1","authors":["Yuhao Zhang"],"abstract":"In this project we explored the performance of deep convolutional\r\nneural network on recognizing handwritten Chinese\r\ncharacters. We ran experiments on a 200-class and a\r\n3755-class dataset using convolutional networks with different\r\ndepth and filter numbers. Experimental results show\r\nthat deeper network with larger filter numbers give better\r\ntest accuracy. We also provide a visualization of the learned\r\nnetwork on the handwritten Chinese characters.","url_abs":"https://www.bing.com/search?form=MOZLBR&pc=MOZI&q=Deep+Convolutional+Network+for+Handwritten+Chinese+Character+Recognition","url_pdf":"https://www.bing.com/search?form=MOZLBR&pc=MOZI&q=Deep+Convolutional+Network+for+Handwritten+Chinese+Character+Recognition","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-convolutional-network-for-handwritten","repo_url":"https://github.com/itanghiu/OnlineHanziRecognizer_TF2_5","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}