{"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-networks-for-beginners-a-fast","title":"Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow","arxiv_id":"1703.05298","date":"2017-03-10","proceeding":null,"authors":["Francesco Giannini","Vincenzo Laveglia","Alessandro Rossi","Dario Zanca","Andrea Zugarini"],"abstract":"This report provides an introduction to some Machine Learning tools within\nthe most common development environments. It mainly focuses on practical\nproblems, skipping any theoretical introduction. It is oriented to both\nstudents trying to approach Machine Learning and experts looking for new\nframeworks.","url_abs":"http://arxiv.org/abs/1703.05298v2","url_pdf":"http://arxiv.org/pdf/1703.05298v2.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-networks-for-beginners-a-fast","repo_url":"https://github.com/AILabUSiena/NeuralNetworksForBeginners","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"}],"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}