This session explores tools and techniques to permit machine learning model portability, while empowering your workloads to make use of the most efficient and powerful hardware available on Google Cloud. Attendees will develop an understanding of machine learning (ML) frameworks, packaging mechanisms, and how they work together to take an ML model from development to production.

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