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TensorFlow is an open-source library and framework that is developed by Google in 2015 to let developers build deep learning models. Deep learning is one of the critical categories in machine learning that makes use of the neural network.
There are different activities that one can perform using this library to create a computational graph. The tensor flow is widely used in machine learning applications. It is simple to use even for beginners in the world of machine learning. They can have access to the library rather than building all the AI models from scratch. It becomes to use ML/AI for the development of mobile applications. The TensorFlow framework would be used to implement machine learning solutions that are easier now. The open source library would let you carry out numerical computations and implement enterprise-level machine-learning applications. The flexible architecture would let you use it on different platforms and devices.
TensorFlow will let the developers create the data flow graphs that help you to learn how the data would flow through the graphs or between the processing nodes. Each node has a specific mathematical operation to perform. The nodes are connected with the help of multi-dimensional data arrays that are called tensors. This would support other programming languages such as Python, JavaScript, Swift, and other programming languages.
The programming languages would help the developers the ways to partner high-level abstractions for applications. The applications of TensorFlow would be developed using Python. The TensorFlow applications are easier to install on mobiles and can be implemented with ease on cloud clusters. The TensorFlow can be installed on any of the systems, including Ubuntu, MACOS, Windows, and Raspbain.
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