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Machine Learning Using TensorFlow Cookbook

You're reading from Machine Learning Using TensorFlow Cookbook Create powerful machine learning algorithms with TensorFlow

Product type Paperback

Published in Feb 2021

Publisher Packt

ISBN-13 9781800208865

Length 416 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Machine Learning

Authors (3):

Konrad Banachewicz

Luca Massaron

Alexia Audevart

View More author details

Table of Contents (15) Chapters

Preface

1. Getting Started with TensorFlow 2.x

2. The TensorFlow Way FREE CHAPTER

3. Keras

4. Linear Regression

5. Boosted Trees

Introduction

6. Neural Networks

7. Predicting with Tabular Data

8. Convolutional Neural Networks

9. Recurrent Neural Networks

10. Transformers

11. Reinforcement Learning with TensorFlow and TF-Agents

12. Taking TensorFlow to Production

13. Other Books You May Enjoy

14. Index

Declaring operations

Apart from matrix operations, there are hosts of other TensorFlow operations we must at least be aware of. This recipe will provide you with a quick and essential glance at what you really need to know.

Getting ready

Besides the standard arithmetic operations, TensorFlow provides us with more operations that we should be aware of. We should acknowledge them and learn how to use them before proceeding. Again, we just import TensorFlow:

import tensorflow as tf

Now we're ready to run the code to be found in the following section.

How to do it…

TensorFlow has the standard operations on tensors, that is, add(), subtract(), multiply(), and division() in its math module. Note that all of the operations in this section will evaluate the inputs elementwise, unless specified otherwise:

TensorFlow provides some variations of division() and the relevant functions.
It is worth mentioning that division() returns the same...

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Authors (3)

Alexia Audevart

Alexia Audevart

Alexia Audevart, also a Google Developer Expert in machine learning, is the founder of datactik. She is a data scientist and helps her clients solve business problems by making their applications smarter. Her first book is a collaboration on artificial intelligence and neuroscience.

See other products by Alexia Audevart

Konrad Banachewicz

Konrad Banachewicz

Konrad Banachewicz is the author of the bestselling, The Kaggle Book and The Kaggle Workbook. He is a data science manager with experience stretching longer than he likes to ponder on. He holds a PhD in statistics from Vrije Universiteit Amsterdam, where he focused on problems of extreme dependency modeling in credit risk. He slowly moved from classic statistics towards machine learning and into the business applications world.

See other products by Konrad Banachewicz

Luca Massaron

Luca Massaron

Having joined Kaggle over 10 years ago, Luca Massaron is a Kaggle Grandmaster in discussions and a Kaggle Master in competitions and notebooks. In Kaggle competitions he reached no. 7 in the worldwide rankings. On the professional side, Luca is a data scientist with more than a decade of experience in transforming data into smarter artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is a Google Developer Expert(GDE) in machine learning and the author of best-selling books on AI, machine learning, and algorithms.

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