TensorFlow 2 Pocket Primer by Oswald Campesato

TensorFlow 2 Pocket Primer by Oswald Campesato

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TensorFlow 2 Pocket Primer by Oswald Campesato

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, CNs, RNs, 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 samples
  • Covers TensorFlow 2 APIs and Datasets
  • Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNs, LSTMs
  • Features the companion files with all of the source code examples and figures (download from the publisher)

Campesato, Oswald: - Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, NLP, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Data Science Fundamentals Pocket Primer (all Mercury Learning and Information).
SKU Unavailable
ISBN 13 9781683924609
ISBN 10 1683924606
Title TensorFlow 2 Pocket Primer
Author Oswald Campesato
Series Pocket Primer
Condition Unavailable
Binding Type Paperback
Publisher Mercury Learning & Information
Year published 2019-10-02
Number of pages 252
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note Unavailable