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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

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781800206137
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Shigeo Yushita Shigeo Yushita
Author Profile Icon Shigeo Yushita
Shigeo Yushita
Koki Saitoh Koki Saitoh
Author Profile Icon Koki Saitoh
Koki Saitoh
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Table of Contents (11) Chapters Close

Preface 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

What is Python?

Python is a simple programming language that is easy to read and learn. It is open-source software that you can use as you like for free. You can write a program that uses English-like grammar without the time-consuming compilation. This makes Python easy to use and, therefore a great choice for beginner programmers. In fact, many computer science courses in universities and professional schools choose Python as the first language they teach.

Python enables you to write both readable and high-performance (fast) code. If massive data processing and high-speed responses are required, Python will meet your needs. This is why Python is a favorite both with beginners and professionals. Cutting-edge IT companies such as Google, Microsoft, and Facebook frequently use Python.

Python is often used in scientific fields, particularly in machine learning and data science. Because of its high performance and excellent libraries for numerical calculations and statistical processing (NumPy and SciPy, for example), Python occupies a solid position in the realm of data science. It is often used as the backbone of deep learning frameworks such as Caffe, TensorFlow, and PyTorch, which provide Python interfaces. Therefore, learning Python is also useful when you wish to use a framework for deep learning.

Python is an optimal programming language, particularly in data science, as it offers various user-friendly and efficient features for beginners and professionals alike. For these reasons, it is the natural choice for achieving the goal of this book: Deep Learning from the Basics.

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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