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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

The Future of Deep Learning

Deep learning is now being used in various fields, as well as in the traditional fields. This section describes the possibilities of deep learning and some research that shows the future of deep learning.

Converting Image Styles

There is research being conducted that uses deep learning to "draw" a picture as an artist would. One popular use case of neural networks is to create a new image based on two provided images. One of them is called a "content image," while the other is called a "style image." A new image is created based on these two images.

In one example, you can specify Van Gogh's painting style as the style that will be applied to the content image, deep learning draws a new picture, as specified. This research was published in the paper "A Neural Algorithm of Artistic Style" (Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge (2015): A Neural Algorithm of Artistic Style. arXiv:1508.06576...

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Authors (2)

Shigeo Yushita

Shigeo Yushita

Contracted

See other products by Shigeo Yushita

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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