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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

Computational Graphs

A computational graph shows the process of calculation. This graph is used as a graph of data structure and is represented by multiple nodes and edges (meaning, straight lines that connect nodes). In this section, we will solve easy problems to familiarize ourselves with computational graphs before advancing step by step into more complex backpropagation.

Using Computational Graphs to Solve Problems

The problems in this section are simple enough that you can solve them with mental arithmetic, but the purpose here is to get familiar with computational graphs. Learning to use computational graphs will be helpful for the complicated calculations we will cover later, so it's important to first master how to use them here.

Question 1: Taro bought 2 apples that were 100 yen apiece. Calculate the amount of money he paid if a 10% consumption tax was applied.

A computational graph shows the process of calculation with nodes and arrows. A node is represented...

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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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