TensorFlow Pocket Primer

By: Oswald Campesato

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Paperback | 3 June 2019

At a Glance

Paperback
170 Pages

Dimensions(cm)
22.86 x 15.24 x 1.27

Paperback

RRP $57.67

$53.75

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As part of thebest-selling Pocket Primer series, this bookis designed to introducebeginners to TensorFlow 1.x fundamentals for basic machine learning algorithmsin TensorFlow. It is intended to be a fast-paced introduction to various "core"features of TensorFlow, with code samples that cover deep learning andTensorFlow basics. The material in the chapters illustrates how to solve avariety of tasks after which you can do further reading to deepen yourknowledge. Companion files with all of the code samples are available fordownloading from the publisher by writing to info@merclearning.com.

Features:

UsesPython for code samples
CoversTensorFlow APIs and Datasets
Assumesthe reader has very limited experience
Companion files with all of the source code examples(download from the publisher)

Industry Reviews

"TensorFlow Pocket Primer introduces readers to TensorFlow 1x basics for machine learning algorithms, and is designed to be an introduction used either to supplement a course or for self-learning. It uses Python to cover code examples, assumes limited experience and background in the subject, and comes with supporting reference files containing all source code examples as a download from the publisher. From Cloud-based platforms to useful components of TensorFlow and their real-world applications, this primer will get anyone up and running in the shortest amount of time possible."

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