Oswald Campesato

TensorFlow Pocket Primer

• Broschiertes Buch

Produktbeschreibung

No detailed description available for "TensorFlow Pocket Primer".

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Produktdetails

• Pocket Primer
• Verlag: De Gruyter
• 1. Auflage
• Seitenzahl: 168
• Erscheinungstermin: 17. Juni 2019
• Englisch
• Abmessung: 229mm x 152mm x 10mm
• Gewicht: 235g
• ISBN-13: 9781683923640
• ISBN-10: 1683923642
• Artikelnr.: 54161753

Autorenporträt

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Inhaltsangabe

1: Introduction to TensorFlow

2: Useful TensorFlow APIs

3: TensorFlow Datasets

4: Linear Regression

5: Logistic Regression

On The Companion Files!

(available from the publisher for downloading by writing to [e-mail])

• Source code samples
• Figures

Rezensionen

"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."