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Pocket Primer

TensorFlow Pocket Primer

Chapter 2: Useful Tensorflow Apis

Frontmatter

Contents

Preface

Chapter 1: Introduction to Tensorflow

Chapter 3: Tensorflow Datasets

Chapter 4: Linear Regression

Chapter 5: Logistic Regression

Index

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 info@merclearning.

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine...

Chapter 2: Useful Tensorflow Apis - Chapter 2: Useful...

Chapter 2: Useful Tensorflow Apis

Format

Chapter 2: Useful Tensorflow Apis

Oswald Campesato

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