Overview of TensorFlow for Data Science

This article will comprehensively introduce TensorFlow, one of the most popular and widely-used libraries for machine learning and deep learning in Python. TensorFlow is a powerful open-source library created by Google Brain Team that allows you to perform complex mathematical operations on multi-dimensional arrays, also known as tensors. This library has become the go-to tool for many industry data scientists, researchers, and machine learning engineers.

Throughout this article, we will cover the basics of installing and importing TensorFlow and how to use it to perform a variety of machine learning and deep learning tasks. We will start with the basics of creating and running computations on tensors and cover more advanced topics, such as creating and training neural networks and working with convolutional and recurrent networks.

TensorFlow

TensorFlow is an open-source software library for data flow and differentiable programming across various tasks. It is a powerful library for machine learning and deep learning and is used by researchers and practitioners worldwide.

Installing TensorFlow:

There are several ways to install TensorFlow, including pip or conda, but the recommended method is to install it using pip. Here is the command to install TensorFlow using pip: