Practical Machine Learning and Image Proce...

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Beschreibung

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. Yoüll see the OpenCV algorithms and how to use them for image processing.

The next section looks at advanced machine learning and deep learning methods for image processing and classification. Yoüll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later yoüll explore how models are made in real time and then deployed using various DevOps tools.

All the conceptsin Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.

What You Will Learn

Discover image-processing algorithms and their applications using Python

Explore image processing using the OpenCV library

Use TensorFlow, scikit-learn, NumPy, and other libraries

Work with machine learning and deep learning algorithms for image processing

Apply image-processing techniques to five real-time projects

Who This Book Is For

Data scientists and software developers interested in image processing and computer vision.

What You Will Learn

Who This Book Is For

Data scientists and software developers interested in image processing and computer vision.

Über den Autor

Himanshu Singh has more than five years of experience as a data science professional. Currently he is senior data scientist at Unify Technologies Private Limited. He gives corporate training on data science, ML, and DL. He's also a visiting faculty for analytics at the Narsee Monjee Institute of Management Studies, considered one of the premium management institutes in India. He is founder of Black Feathers Analytics and Rise of Literati Clubs.

Zusammenfassung

Covers advanced machine learning and deep learning methods for image processing and classification

Explains concepts using real-time use cases such as facial recognition, object detection, self-driving cars, and pattern recognition

Includes applications of machine learning and neural networks on processed images

Inhaltsverzeichnis

Chapter 1: Installation and Environment Setup

Chapter 2: Introduction to Python and Image Processing

Chapter 3: Advanced Image Processing using OpenCV

Chapter 4: Machine Learning Approaches in Image Processing

Chapter 5: Real Time Use Cases

Chapter 6: Appendix A

Details

Erscheinungsjahr:	2019
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xv 169 S. 77 s/w Illustr. 14 farbige Illustr. 169 p. 91 illus. 14 illus. in color.
ISBN-13:	9781484241486
ISBN-10:	1484241487
Sprache:	Englisch
Herstellernummer:	978-1-4842-4148-6
Einband:	Kartoniert / Broschiert
Autor:	Singh, Himanshu
Auflage:	First Edition
Hersteller:	Apress Apress L.P.
Verantwortliche Person für die EU:	APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße:	235 x 155 x 11 mm
Von/Mit:	Himanshu Singh
Erscheinungsdatum:	27.02.2019
Gewicht:	0,295 kg