TensorFlow 2 Pocket Primer:

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that cover machine learning and...

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Bibliographische Detailangaben
1. Verfasser: Campesato, Oswald (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Herndon Mercury Learning and Information [2019]
Schriftenreihe:Pocket Primer
Schlagworte:
Online-Zugang:DE-1046
DE-1043
DE-858
DE-859
DE-860
DE-739
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Zusammenfassung:As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. 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 emailing proof of purchase to info@merclearning.com. Features: Uses Python for code samplesCovers TensorFlow 2 APIs and DatasetsIncludes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMsFeatures the companion files with all of the source code examples and figures (download from the publisher)
Beschreibung:Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023)
Beschreibung:1 Online-Ressource (252 Seiten)
ISBN:9781683924616
DOI:10.1515/9781683924616

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