Announcing TensorFlow r1.4- Google Developers Blog
Nov 7, 2017
Summary
TensorFlow r1.4 introduces several key features and improvements, including the release of TensorFlow Lite for mobile inference, enhanced support for distributed training with Horovod, and new APIs for custom training loops and model debugging. It also includes performance optimizations and bug fixes, making it a more robust and flexible framework for machine learning development and deployment.
More from the TensorFlow Machine Learning Framework trail
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- Run Ray on TPU, Part 2: Ray AI libraries- Google Developers Blog
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