TensorFlow Pocket Primer:

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...

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Bibliographische Detailangaben
1. Verfasser: Campesato, Oswald (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Dulles, VA Mercury Learning and Information [2019]
Schriftenreihe:Pocket Primer
Schlagworte:
Online-Zugang:DE-1046
DE-1043
DE-858
DE-859
DE-860
DE-739
DE-Aug4
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Zusammenfassung: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 info@merclearning.com. Features: Uses Python for code samplesCovers TensorFlow APIs and DatasetsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher)
Beschreibung:Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Mrz 2024)
Beschreibung:1 Online-Ressource (152 Seiten)
ISBN:9781683923664
DOI:10.1515/9781683923664

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