{"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/a-gentle-tutorial-of-recurrent-neural-network","title":"A Gentle Tutorial of Recurrent Neural Network with Error Backpropagation","arxiv_id":"1610.02583","date":"2016-10-08","proceeding":null,"authors":["Gang Chen"],"abstract":"We describe recurrent neural networks (RNNs), which have attracted great\nattention on sequential tasks, such as handwriting recognition, speech\nrecognition and image to text. However, compared to general feedforward neural\nnetworks, RNNs have feedback loops, which makes it a little hard to understand\nthe backpropagation step. Thus, we focus on basics, especially the error\nbackpropagation to compute gradients with respect to model parameters. Further,\nwe go into detail on how error backpropagation algorithm is applied on long\nshort-term memory (LSTM) by unfolding the memory unit.","url_abs":"http://arxiv.org/abs/1610.02583v3","url_pdf":"http://arxiv.org/pdf/1610.02583v3.pdf","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":"a-gentle-tutorial-of-recurrent-neural-network","repo_url":"https://github.com/disooqi/Natasy","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"handwriting-recognition","task_name":"Handwriting Recognition"},{"task_slug":"image-to-text","task_name":"Image to text"},{"task_slug":"speech-recognition","task_name":"Speech Recognition"},{"task_slug":"speech-recognition-1","task_name":"speech-recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}