What is TensorFlow used for?

TensorFlow is a Python library for fast numerical computing created and released by Google. It is a foundation library that can be used to create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow .

Tensorflow is used internally at Google to power all of its machine learning and AI . Google’s data centers are powered using AI and TensorFlow to help optimize the usage of these data centers to reduce bandwidth, to ensure network connections are optimized, and to reduce power consumption.

TensorFlow is Google’s open source AI framework for machine learning and high performance numerical computation. TensorFlow is a Python library that invokes C++ to construct and execute dataflow graphs. It supports many classification and regression algorithms, and more generally, deep learning and neural networks.

TensorFlow ecosystem TensorFlow provides a collection of workflows to develop and train models using Python or JavaScript, and to easily deploy in the cloud, on-prem, in the browser, or on-device no matter what language you use. The tf. data API enables you to build complex input pipelines from simple, reusable pieces.

This TensorFlow Deep Learning Tutorial is for beginners who want to gain knowledge about TensorFlow, Machine Learning, Deep Learning, and more advanced concepts . This tutorial also helps Python developers for research and development purposes in Machine Learning and Deep Learning with TensorFlow using Python.8 Mar 2022

Google built the underlying TensorFlow software with the C++ programming language. But in developing applications for this AI engine, coders can use either C++ or Python , the most popular language among deep learning researchers.