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Deep Learning from the Basics

You're reading from Deep Learning from the Basics Python and Deep Learning: Theory and Implementation

Product type Paperback

Published in Mar 2021

Publisher Packt

ISBN-13 9781800206137

Length 316 pages

Edition 1st Edition

Languages

Python

Concepts

Deep Learning

Authors (2):

Shigeo Yushita

Koki Saitoh

View More author details

Table of Contents (11) Chapters

Preface

About the Book

Introduction

1. Introduction to Python FREE CHAPTER

2. Perceptrons

3. Neural Networks

4. Neural Network Training

5. Backpropagation

6. Training Techniques

7. Convolutional Neural Networks

8. Deep Learning

Appendix A

Numerical Differentiation

The gradient method uses information from the gradient to determine which direction to follow. This section describes what a gradient is and its characteristics, beginning with a "derivative."

Derivative

For example, let's assume that you ran 2 km in 10 minutes from the start of a full marathon. You can calculate the speed as 2 / 10 = 0.2 [km/minute]. You ran at a speed of 0.2 km per minute.

In this example, we calculated how much the "running distance" changed over "time." Strictly speaking, this calculation indicates the "average speed" for 10 minutes because you ran 2 km in 10 minutes. A derivative indicates the amount of change at "a certain moment." Therefore, by minimizing the time of 10 minutes (the distance in the last 1 minute, the distance in the last 1 second, the distance in the last 0.1 seconds, and so on), you can obtain the amount of change at a certain moment (instantaneous speed...

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Authors (2)

Shigeo Yushita

Shigeo Yushita

Contracted

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Saitoh

Saitoh

Koki Saitoh was born in Tsushima, Nagasaki in 1984. He graduated from the engineering department of the Tokyo Institute of Technology and completed a master's course at the Graduate School of Interdisciplinary Information Studies at the University of Tokyo. Currently, he conducts research and development in computer vision and machine learning. He has authored Python 3 in Practice, The Elements of Computing Systems, and Building Machine Learning Systems with Python, translations of which are published by O'Reilly, Japan.

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