How does Tensor Flow work?

Tensor Flow is a popular open-source software library that is used extensively for developing machine learning and deep learning models. It works by creating and manipulating a large array of mathematical operations, also known as tensors. These tensors are manipulated through a directed acyclic graph, which allows for better optimization of the computational flow and faster processing of data. By leveraging the power of a distributed computing system, Tensor Flow is able to harness the full potential of modern computer hardware, making it easier to train and deploy complex machine learning models. In essence, Tensor Flow provides a platform to build and run machine learning models efficiently and effectively.

This mind map was published on 25 June 2023 and has been viewed 162 times.