Book Image

Learning Data Mining with Python - Second Edition

By : Robert Layton
Book Image

Learning Data Mining with Python - Second Edition

By: Robert Layton

Overview of this book

This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now. With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Chapter 11. Object Detection in Images using Deep Neural Networks

We used basic neural networks in Chapter 8, Beating CAPTCHAs with Neural Networks with Neural Networks. Research in neural networks is creating some of the most advanced and accurate classification algorithms in many areas. The differences between the concepts introduced in this chapter, versus those introduced in Chapter 8, Beating CAPTCHAs with Neural Networks is around complexity. In this chapter, we look at deep neural networks, those with many hidden layers, and also at more complex layer types for dealing with specific types of information, such as images.

These advances have come on the back of improvements in computational power, allowing us to train larger and more complex networks. However, the advances are much more than simply throwing more computational power at the problem. New algorithms and layer types have drastically improved performance, outside computational power. The cost is that these new classifiers...