Google has just moved to a production release of TensorFlow Serving, its open source library for serving machine-learned models in production environments. A beta version of the technology was ...

Google today launched TensorFlow Quantum (TFQ), an open-source library for prototyping quantum machine learning models. Quantum computers aren’t quite mainstream yet, but when they arrive they’ll need ...

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google AI today released TensorFlow Constrained Optimization (TFCO), a ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

TFQ integrates the framework ' Cirq ' developed by Google for the quantum processor ' NISQ ' with quantum noise into the existing TensorFlow library. Quantum computing compatible with the existing ...

Twitter uses machine learning to improve the service so that it displays the contents tailored to the user. At the time of writing the article, Twitter is to machine learningTorchAlthough it is using, ...

Python is recognized as one of the most commonly used programming languages worldwide, especially in the sphere of deep learning. Its adaptability and easy-to-use features make it an ideal language ...