Over the past two years, since its release in November 2015, TensorFlow has gained a lot of popularity among machine learning researchers, who use it to construct deep neural networks because of its ability to optimize mathematical expressions for computations on multi dimensional arrays utilizing Graphical Processing Units (GPUs).
