TensorFlow 1: Getting Started

by Jerry Kurata

This course shows you how to install and use TensorFlow, a leading machine learning library from Google. You'll see how TensorFlow can create a range of machine learning models, from simple linear regression to complex deep neural networks.

What you'll learn

Developing sophisticated machine learning solutions is a difficult task. There are many processing steps that must be performed, and how this processing is performed is a function of not only the code you write, but also the data you use. In this course, TensorFlow 1: Getting Started, you'll see how TensorFlow easily addresses these concerns by learning TensorFlow from the bottom up. First, you'll be introduced to the installation process, building simple and advanced models, and utilizing additional libraries that make development even easier. Along the way, you'll learn how the unique architecture in TensorFlow lets you perform your computing on systems as small as a Raspberry Pi, and as large as a data farm. Finally, you'll explore using TensorFlow with neural networks in general, and specifically with powerful deep neural networks. By the end of this course, you'll have a solid foundation on using TensorFlow, and have the knowledge to apply TensorFlow to create your own machine learning solutions.

About the author

Jerry has Bachelor of Science degrees in Geology and Physics. His plans to work in the oil exploration industry were sidetracked when he discovered he preferred to work with computers on simulation and data processing, instead of reading mud and core samples in the North Sea. His love of computers and tech resulted in him spending many additional hours working on computers while getting his Master’s degree in Computer Science. His current areas of interests include Machine Learning, Big Data,... more

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