TensorFlow Pocket Primer

Oswald Campesato (Autor)

Buch | Softcover

152 Seiten

2019
Mercury Learning & Information (Verlag)
978-1-68392-364-0 (ISBN)

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Introduces beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. The book is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover deep learning and TensorFlow basics.

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).

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 info@merclearning.com)

Source code samples
Figures

Erscheinungsdatum	20.06.2019
Reihe/Serie	Pocket Primer
Sprache	englisch
Gewicht	236 g
Themenwelt	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
ISBN-10	1-68392-364-2 / 1683923642
ISBN-13	978-1-68392-364-0 / 9781683923640
Zustand	Neuware