SD Times GitHub Project of the Week: TensorFlow Serving

Google has announced the release of TensorFlow Serving, a flexible, high-performance and open-source serving system for machine-learning models. The solution was designed for production environments and optimized for TensorFlow, the company’s machine-learning system. “Machine learning powers many Google product features: from speech recognition in the Google app to Smart Reply in Inbox to search in Google Photos,” wrote Google software engineer Noah Fiedel in a blog post. “While decades of experience have enabled the software industry to establish best practices for building and supporting products, doing so for services based upon machine learning introduces new and interesting challenges. Today, we announce the release of TensorFlow Serving, designed to address some of these challenges.” According to the company, with TensorFlow’s ability to run multiple models at large scale, it enables model…


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