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TensorFlow For Machine Intelligence: A hands-on introduction to learning algorithms

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TensorFlow For Machine Intelligence: A hands-on introduction to learning algorithms

This book is a hands-on introduction to learning algorithms. It is for people who may know a little machine learning (or not) and who may have heard about TensorFlow, but found the documentation too daunting to approach. The learning curve is gentle and you always have some code to illustrate the math step-by-step.

TensorFlow, a popular library for machine learning, embraces the innovation and community-engagement of open source, but has the support, guidance, and stability of a large corporation. Because of its multitude of strengths, TensorFlow is appropriate for individuals and businesses ranging from startups to companies as large as, well, Google. TensorFlow is currently being used for natural language processing, artificial intelligence, computer vision, and predictive analytics.

TensorFlow, open sourced to the public by Google in November 2015, was made to be flexible, efficient, extensible, and portable. Computers of any shape and size can run it, from smartphones all the way up to huge computing clusters. This book starts with the absolute basics of TensorFlow. We found that most tutorials on TensorFlow start by attempting to teach both machine learning concepts and TensorFlow terminology at the same time. Here we first make sure you've had the opportunity to become comfortable with TensorFlow's mechanics and core API before covering machine learning concepts.

Country	USA
Binding	Kindle Edition
Edition	1
EISBN	9781939902351
Format	Kindle eBook
IsAdultProduct
Label	Bleeding Edge Press
Manufacturer	Bleeding Edge Press
NumberOfPages	298
PublicationDate	2016-07-23
Publisher	Bleeding Edge Press
ReleaseDate	2016-07-23
Studio	Bleeding Edge Press

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