{"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/neural-network-models-and-deep-learning-a","title":"Neural network models and deep learning - a primer for biologists","arxiv_id":"1902.04704","date":"2019-02-13","proceeding":null,"authors":["Nikolaus Kriegeskorte","Tal Golan"],"abstract":"Originally inspired by neurobiology, deep neural network models have become a\npowerful tool of machine learning and artificial intelligence, where they are\nused to approximate functions and dynamics by learning from examples. Here we\ngive a brief introduction to neural network models and deep learning for\nbiologists. We introduce feedforward and recurrent networks and explain the\nexpressive power of this modeling framework and the backpropagation algorithm\nfor setting the parameters. Finally, we consider how deep neural networks might\nhelp us understand the brain's computations.","url_abs":"http://arxiv.org/abs/1902.04704v2","url_pdf":"http://arxiv.org/pdf/1902.04704v2.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":"neural-network-models-and-deep-learning-a","repo_url":"https://github.com/impredicative/urltitle","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}