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Thursday, June 6, 2019
TensorFlow Lite for on-device ML (TensorFlow Meets)
TensorFlow Lite for on-device ML (TensorFlow Meets)
[Collection]
TensorFlow Lite is an open source deep learning framework for on-device inference, allowing you to deploy machine learning models on mobile and IoT devices. On this episode of TensorFlow Meets, Laurence (@lmoroney) talks with TF Lite Engineering Lead Raziel Alvarez about how TensorFlow Lite aims to enable the next generation of AI-based applications.
Raziel’s TF Lite talk from TF Dev Summit ‘19 → https://bit.ly/2Ja71gJ
TensorFlow Lite examples → http://bit.ly/2PSC0OO
This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish.
Subscribe to the TensorFlow channel → https://bit.ly/TensorFlow1
Watch more episodes of TensorFlow Meets → https://bit.ly/2lbyLDK
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