Graphs: TensorFlow provides better visualization of graphs than other libraries, such as Torch and Theano.
Google support: it benefits from fast updates, smooth performance, and regular releases of new features.
Debugging: it facilitates the execution of a subsection of a graph, which gives it an advantage as we can add and retrieve discrete data.
Scalability: Its ability to run on any machine and allows for designing a wide variety of industry-grade systems (for example, it was used by Airbnb, Snapchat, Dropbox, Intel, and Snapchat).
Distinct methodology to measure various parameters and monitor the evolution of models during training.