TensorFlow was originally developed at Google to allow researchers and developers to conduct machine learning research. It was originally defined as an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.
TensorFlow primarily offers to simplify the deployment of machine learning solutions on various platforms—computer CPUs, computer GPUs, mobile devices, and, more recently, in the browser. On top of that, TensorFlow offers many useful functions for creating machine learning models and running them at scale. In 2019, TensorFlow 2 was released with a focus on ease of use while maintaining good performance.
The library was open sourced in November 2015. Since then, it has been improved and used by users all around the world. It is considered one of the platforms of...
