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You're reading from  Generative Adversarial Networks Cookbook

Product typeBook
Published inDec 2018
PublisherPackt
ISBN-139781789139907
Edition1st Edition
Concepts
Artificial Intelligence
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Josh Kalin
Josh Kalin
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Josh Kalin

Josh Kalin is a Physicist and Technologist focused on the intersection of robotics and machine learning. Josh works on advanced sensors, industrial robotics, machine learning, and automated vehicle research projects. Josh holds degrees in Physics, Mechanical Engineering, and Computer Science. In his free time, he enjoys working on cars (has owned 36 vehicles and counting), building computers, and learning new techniques in robotics and machine learning (like writing this book).
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Data types

In computer science, data types will represent the way the data is stored in the program. For this section, we are going to discuss the structure of the MNIST data and demonstrate how to simply manipulate the data.

 

Getting ready

Focusing on data types is where we will begin the data processing journey. Each step in this process is crucial to understand. Data types refer to the structure in which the data is held in Python. Think of a dictionary, array of floats, and so on. These are the data types that we would like to understand and consider. The example that we are going to explore in this set of recipes is going to be a parsing example for images since the first few recipes in this book will revolve around the usage of two-dimensional imagery. We're going to start with a simple and small dataset called the MNIST dataset. This data is used across all kinds of ML and for good reason. it's a set with 60,000 handwritten images that're labeled and easy to understand. Also, the data...

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Generative Adversarial Networks Cookbook
Published in: Dec 2018Publisher: PacktISBN-13: 9781789139907
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Josh Kalin

Josh Kalin is a Physicist and Technologist focused on the intersection of robotics and machine learning. Josh works on advanced sensors, industrial robotics, machine learning, and automated vehicle research projects. Josh holds degrees in Physics, Mechanical Engineering, and Computer Science. In his free time, he enjoys working on cars (has owned 36 vehicles and counting), building computers, and learning new techniques in robotics and machine learning (like writing this book).
Read more about Josh Kalin

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