Google makes TensorFlow Serving open source, eases machine learning into production

News: The system is available on GitHub under the Apache 2.0 license. Google has launched its TensorFlow Serving as open source, which intends to assist developers in taking their machine learning models into production. The TensorFlow Serving system, which is available on GitHub under the Apache 2.0 license, will enable developers to easily implement new algorithms and experiments. Written primarily in C++, the technology supports Linux and introduces minimal overhead. It has the capacity to run several models, at large scale, that change over time depending on real-world data. TensorFlow Serving offers various extension points where users can add new functionality. Google software engineer Noah Fiedel said in a blog post: “TensorFlow Serving makes the process of taking a model into production easier and faster. “It allows you to safely…


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