{"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-fast-vision-accelerated-deep-transfer","title":"Deep Fast Vision: Accelerated Deep Transfer Learning Vision Prototyping and Beyond","arxiv_id":null,"date":"2023-04-26","proceeding":"Zenodo GitHub 2023 4","authors":["Fabi Prezja"],"abstract":"Deep Fast Vision is a versatile Python library for rapid prototyping of deep transfer learning vision models. It caters to users of various levels, offering different levels of abstraction from high-level configurations for beginners to mid and low-level customization for professional data scientists and developers. Built around Keras and TensorFlow, this library also includes handy utilities.","url_abs":"https://doi.org/10.5281/zenodo.7865289","url_pdf":"https://doi.org/10.5281/zenodo.7865289","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-fast-vision-accelerated-deep-transfer","repo_url":"https://github.com/fabprezja/deep-fast-vision","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"automl","task_name":"AutoML"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"}],"methods":[{"method_slug":"auto-classifier","method_name":"Auto-Classifier"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":null,"method_name":"Library"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}