Amy Unruh and Yufeng Guo introduce TensorFlow and its ecosystem of related libraries, tools, and models and discuss some of the ways it’s being used for deep learning—both within Google and in the larger OSS community. Along the way, Amy and Yufeng take a look at TensorFlow’s roadmap, highlight some of the projects that are using TensorFlow, and give some fun demos.
Amy Unruh is a developer programs engineer for the Google Cloud Platform, with a focus on machine learning and data analytics as well as other Cloud Platform technologies. Amy has an academic background in CS/AI and has also worked at several startups, done industrial R&D, and published a book on App Engine.
Yufeng Guo is a developer advocate for the Google Cloud Platform, where he is trying to make machine learning more understandable and usable for all. He enjoys hearing about new and interesting applications of machine learning, so be sure to share your use case with him.
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