Enabling Privacy With Transfer Learning For Image Classification Dnns On Mobile Devices
GOODTECHS '18: PROCEEDINGS OF THE 4TH EAI INTERNATIONAL CONFERENCE ON SMART OBJECTS AND TECHNOLOGIES FOR SOCIAL GOOD (GOODTECHS)(2018)
摘要
More people could benefit of Machine Learning (ML) as an increasingly important technology and service, if state-of-the-art ML techniques with training capability were accessible on personal devices. To this end, we report details on how to deploy Tensor-Flow on off-the-shelf mobile and embedded devices and retrain current deep neural networks for image recognition on-device. Our motivation is to both grant privacy and allow users to efficiently personalize image classifiers for their own needs and purposes, and thus contribute towards turning ML into a "social good", which benefits the largest number of people in the greatest possible way.
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关键词
transfer learning, image recognition, mobile devices, personalization, privacy, neuronal network
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