Announcing TensorFlow 1.5- Google Developers Blog
Jan 26, 2018

Summary
TensorFlow 1.5 introduces new features and improvements, including support for new hardware accelerators, enhanced performance for distributed training, and expanded capabilities for model deployment. This release focuses on making TensorFlow more accessible and powerful for a wider range of machine learning tasks and production environments.
More from the TensorFlow Machine Learning Framework trail
- Decoding cosmic signals with deep learning and Keras- Google Developers Blog
- Enterprise-Grade Precision for Long-Context Multimodal Embedding Inference on Cloud TPU- Google Developers Blog
- HeyGen x Google Cloud: Bringing Avatar IV to TPUs- Google Developers Blog
- Run Ray on TPU, Part 2: Ray AI libraries- Google Developers Blog
- Run Ray on TPU, Part 1: The foundations- Google Developers Blog