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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

1. Introduction to Python

More than 20 years have passed since the Python programming language was released. During that period, it has evolved and increased its user base. Python is currently the most popular programming language in the world.

In this book, we will use this powerful language to implement a deep learning system. This chapter explains Python briefly and describes how to use it. If you are familiar with Python, NumPy, and Matplotlib, you can skip this chapter.

You have been reading a chapter from

Deep Learning from the Basics

Published in: Mar 2021

Publisher: Packt

ISBN-13: 9781800206137

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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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