“TensorFlow: Enabling Mobile and Embedded Machine Intelligence,” a Presentation from Google

Pete Warden, Research Engineer at Google, presents the "TensorFlow: Enabling Mobile and Embedded Machine Intelligence" tutorial at the May 2016 Embedded Vision Summit.

Following a brief overview of the advances in deep learning and AI over the last few years, Pete discusses how Google uses TensorFlow to deploy those advances in products on mobile and embedded devices. Key examples are Google Translate, Google Photos, and OK Google. He then discusses why the company open-sourced the framework and talks about TensorFlow's focus on supporting low-power applications using approaches such as specialized hardware, shrinking models and code.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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