Google announces TensorFlow Enterprise for large-scale machine learning - SiliconANGLE

Google LLC today launched an enterprise version of TensorFlow, the popular open-source artificial intelligence framework it created to run machine learning, deep learning and other statistical and predictive analytics workloads. Common use cases include training algorithms for image recognition and recurrent neural networks, as well as sequence-to-sequence models for machine translation and natural language processing. In a launch at the O'Reilly TensorFlow World conference in Santa Clara, California, Craig Wiley (pictured), director of product management at Google Cloud AI Platform, said the launch of TensorFlow Enterprise was necessary to meet the "higher demands and expectations" of enterprises that need to scale up their machine learning projects. TensorFlow Enterprise customers will be able to take advantage of what Google says is enterprise-grade support, including long-term support for older versions of the framework. Although TensorFlow is updated regularly, not everyone is able to upgrade to the newest releases immediately.