Tensor Flow Pocket Primer

by Oswald Campesato

Overview

This book introduces TensorFlow to people who have some knowledge of Python. Readers will learn about many “core” TensorFlow APIs, Linear Regression, Logistic Regression, and MultiLayer Perceptrons. This book is meant to provide both a foundation in TensorFlow and a rudimentary understanding of Deep Learning.

Features:

- A concrete introduction to TensorFlow and useful APIs
- Companion files with code from the text.

eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [e-mail].

Product Details

ISBN-13:	9781683923640
Publisher:	Mercury Learning & Information
Publication date:	04/30/2019
Pages:	200
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Oswald Campesato (San Francisco, CA) specializes in Python, Java, Android, jQuery, and CSS3/SVG graphics. He is the author/co-author of over twenty books including the Python Pocket Primer, jQuery, CSS3, and HTML5 for Mobile and Desktop Devices, and the HTML5 Pocket Primer (Mercury Learning).

Table of Contents

1: Introduction to TensorFlow
2: TensorFlow APIs
3: Linear-Regression
4: Logistic-Regression
5: Multi-Layer Perceptrons
Index