{"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/deeplearningkit-an-gpu-optimized-deep","title":"DeepLearningKit - an GPU Optimized Deep Learning Framework for Apple's iOS, OS X and tvOS developed in Metal and Swift","arxiv_id":"1605.04614","date":"2016-05-15","proceeding":null,"authors":["Amund Tveit","Torbjørn Morland","Thomas Brox Røst"],"abstract":"In this paper we present DeepLearningKit - an open source framework that\nsupports using pretrained deep learning models (convolutional neural networks)\nfor iOS, OS X and tvOS. DeepLearningKit is developed in Metal in order to\nutilize the GPU efficiently and Swift for integration with applications, e.g.\niOS-based mobile apps on iPhone/iPad, tvOS-based apps for the big screen, or OS\nX desktop applications. The goal is to support using deep learning models\ntrained with popular frameworks such as Caffe, Torch, TensorFlow, Theano,\nPylearn, Deeplearning4J and Mocha. Given the massive GPU resources and time\nrequired to train Deep Learning models we suggest an App Store like model to\ndistribute and download pretrained and reusable Deep Learning models.","url_abs":"http://arxiv.org/abs/1605.04614v1","url_pdf":"http://arxiv.org/pdf/1605.04614v1.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":"deeplearningkit-an-gpu-optimized-deep","repo_url":"https://github.com/DeepLearningKit/DeepLearningKit","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":null,"task_name":"GPU"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}