Google TensorFlow

Open Source Machine Learning Library developed by Google. The TensorFlow was originally developed by the Google Brain team for internal use in Google, and in 2015 the system was transferred to free access with an open Apache Ошибка цитирования Неверный вызов: нет входных данных2.0 license.

The platform has gained wide support in the industry and has become a common solution for research in deep learning and application development, especially in areas such as machine vision, natural language understanding and speech translation.

2019: Google has released a corporate version of the AI platform TensorFlow

At the end of October 2019, Google released a corporate version of the AI platform TensorFlow, which is designed to implement machine and deep learning, as well as other statistical and predictive tasks on an industrial scale.

TensorFlow simplifies data collection, AI model training, predictions and refinement of future results. Most often, the platform is used to teach image recognition algorithms and recurring neural networks, as well as to process the natural language.

Google has released AI platforms for machine learning

TensorFlow Enterprise is designed to meet the "higher demands and expectations" of companies that need to expand their machine learning projects, said Craig Wiley, director of product development at Google Cloud AI Platform, at O'Reilly TensorFlow World in Santa Clara.

According to him, customers who have implemented TensorFlow Enterprise will be able to take advantage of corporate support, including long-term support for older versions of the platform. Despite the fact that the TensorFlow is regularly updated, not all users can immediately switch to more recent versions, the publication SiliconANGLE notes.

For certain versions of TensorFlow, we will provide security updates and bug fixes for up to three years, "Wiley writes on his blog. - These versions will be supported in Google Cloud, and all patches and bug fixes will be available in the main code repository TensorFlow

According to Wiley, expanded enterprise-level support also includes additional services (white-glove service) that are provided by Google Cloud specialists to developers in companies using TensorFlow Enterprise.

Another advantage of TensorFlow Enterprise in Google is the ability to easily scale.^[1]