{"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/q-neurons-neuron-activations-based-on","title":"q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators","arxiv_id":"1806.00149","date":"2018-06-01","proceeding":null,"authors":["Frank Nielsen","Ke Sun"],"abstract":"We propose a new generic type of stochastic neurons, called $q$-neurons, that\nconsiders activation functions based on Jackson's $q$-derivatives with\nstochastic parameters $q$. Our generalization of neural network architectures\nwith $q$-neurons is shown to be both scalable and very easy to implement. We\ndemonstrate experimentally consistently improved performances over\nstate-of-the-art standard activation functions, both on training and testing\nloss functions.","url_abs":"http://arxiv.org/abs/1806.00149v2","url_pdf":"http://arxiv.org/pdf/1806.00149v2.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":"q-neurons-neuron-activations-based-on","repo_url":"https://github.com/sunk/qneurons","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[],"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}