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The TensorFlow Workshop

You're reading from The TensorFlow Workshop A hands-on guide to building deep learning models from scratch using real-world datasets

Product type Paperback

Published in Dec 2021

Publisher Packt

ISBN-13 9781800205253

Length 600 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Deep Learning

Authors (4):

Matthew Moocarme

Abhranshu Bagchi

Anthony Maddalone

Anthony So

View More author details

Table of Contents (13) Chapters

Preface

1. Introduction to Machine Learning with TensorFlow

2. Loading and Processing Data FREE CHAPTER

3. TensorFlow Development

4. Regression and Classification Models

5. Classification Models

6. Regularization and Hyperparameter Tuning

7. Convolutional Neural Networks

8. Pre-Trained Networks

9. Recurrent Neural Networks

10. Custom TensorFlow Components

11. Generative Models

Appendix

2. Loading and Processing Data

Overview

In this chapter, you will learn how to load and process a variety of data types for modeling in TensorFlow. You will implement methods to input data into TensorFlow models so that model training can be optimized.

By the end of this chapter, you will know how to input tabular data, images, text, and audio data and preprocess them so that they are suitable for training TensorFlow models.

You have been reading a chapter from

The TensorFlow Workshop

Published in: Dec 2021

Publisher: Packt

ISBN-13: 9781800205253

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Authors (4)

Abhranshu Bagchi

Abhranshu Bagchi

Contacted by Sneha Shinde on Jan 28, 2020

See other products by Abhranshu Bagchi

Matthew Moocarme

Matthew Moocarme

Matthew Moocarme is an accomplished data scientist with more than eight years of experience in creating and utilizing machine learning models. He comes from a background in the physical sciences, in which he holds a Ph.D. in physics from the Graduate Center of CUNY. Currently, he leads a team of data scientists and engineers in the media and advertising space to build and integrate machine learning models for a variety of applications. In his spare time, Matthew enjoys sharing his knowledge with the data science community through published works, conference presentations, and workshops.

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Maddalone

Maddalone

Anthony Maddalone is a research engineer at TieSet, a Silicon Valley-based leader in distributed artificial intelligence and federated learning. He is a former founder and CEO of a successful start-up. Anthony lives with his wife and two children in Colorado, where they enjoy spending time outdoors. He is also a master's candidate in analytics with a focus on industrial engineering at the Georgia Institute of Technology.

See other products by Maddalone

Anthony So

Anthony So

Anthony So is a renowned leader in data science. He has extensive experience in solving complex business problems using advanced analytics and AI in different industries including financial services, media, and telecommunications. He is currently the chief data officer of one of the most innovative fintech start-ups. He is also the author of several best-selling books on data science, machine learning, and deep learning. He has won multiple prizes at several hackathon competitions, such as Unearthed, GovHack, and Pepper Money. Anthony holds two master's degrees, one in computer science and the other in data science and innovation.

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