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Practical Machine Learning and Image Processing
Af: Himanshu Singh Engelsk Paperback
SPAR
kr 134
Practical Machine Learning and Image Processing
Af: Himanshu Singh Engelsk Paperback
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. You''ll 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. You''ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you''ll explore how models are made in real time and then deployed using various DevOps tools. 

All the concepts in 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.

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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. You''ll 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. You''ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you''ll explore how models are made in real time and then deployed using various DevOps tools. 

All the concepts in 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.

Produktdetaljer
Sprog: Engelsk
Sider: 169
ISBN-13: 9781484241486
Indbinding: Paperback
Udgave:
ISBN-10: 1484241487
Kategori: Machine learning
Udg. Dato: 27 feb 2019
Længde: 16mm
Bredde: 155mm
Højde: 235mm
Oplagsdato: 27 feb 2019
Forfatter(e): Himanshu Singh
Forfatter(e) Himanshu Singh


Kategori Machine learning


Sprog Engelsk


Indbinding Paperback


Sider 169


Udgave


Længde 16mm


Bredde 155mm


Højde 235mm

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