TensorFlow Pocket Primer (Paperback)

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various ""core""features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by writing to [email protected]. Features: Uses Python for code samples Covers TensorFlow APIs and Datasets Assumes the reader has very limited experience Companion files with all of the source code examples (download from the publisher)

General

Imprint:	Mercury Learning & Information
Country of origin:	United States
Series:	Pocket Primer
Release date:	June 2019
Authors:	Oswald Campesato
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	152
ISBN-13:	978-1-68392-364-0
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Reference & Interdisciplinary > Encyclopaedias & reference works > Reference works > General Books > Computing & IT > Computer programming > Programming languages > General
LSN:	1-68392-364-2
Barcode:	9781683923640

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