Tensor Flow Pocket Primer

by Oswald Campesato

Overview

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. 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 writing to [e-mail].

Features:

• Uses Python for code samples
• Covers TensorFlow APIs and Datasets
• Assumes the reader has very limited experience
• Companion files with all of the source code examples (download from the publisher)

Product Details

ISBN-13:	9781683923657
Publisher:	Mercury Learning & Information
Publication date:	05/09/2019
Series:	Pocket Primer
Sold by:	Barnes & Noble
Format:	eBook
Pages:	200
File size:	10 MB

About the Author

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

Table of Contents

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

Editorial Reviews

"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."

Midwest Book Review