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TensorFlow Dev Summit 2019

Practical AI

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Exploring TensorFlow Innovations

This chapter focuses on new developments in TensorFlow, particularly TensorFlow Federated and TensorFlow Extended (TFX), which facilitate decentralized data processing and comprehensive machine learning workflows. The discussion highlights the importance of privacy through differential privacy and the practicality of federated systems for sensitive data. Additionally, it covers advancements from the TensorFlow Dev Summit, including performance enhancements and tools designed for various hardware setups, underscoring the significance of operationalizing machine learning in diverse applications.

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