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Pocket Primer

TensorFlow 2 Pocket Primer

Frontmatter

Contents

Preface

Chapter 1. Introduction to TensorFlow 2

Chapter 2. Useful TF 2 APIs

Chapter 3. TF 2 Datasets

Chapter 4. Linear Regression

Chapter 5. Working with Classifiers

Appendix: TF 2, Keras, and Advanced Topics

Index

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, CNNs, RNNs, 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.

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using...

Format

TensorFlow 2 Pocket Primer

Oswald Campesato

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