Practical Machine Learning and Image Processing

For Facial Recognition, Object Detection, and Pattern Recognition Using Python

Autor: Himanshu Singh

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Legare: Carte broșată

Editura: APress

Disponibilitate: În depozitul extern

Expediem în 9-15 zile

264.58 lei

Gain insights into image-processing methodologies and algorithms, using machine learning and neural...

Informații despre carte

Autor

Himanshu Singh

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2019

Pagini

169

EAN

9781484241486

Enbook ID

20226127

Editura

APress

Greutate

312

Dimensiuni

235 x 155 x 16

Descriere completă

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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Practical Machine Learning and Image Processing

For Facial Recognition, Object Detection, and Pattern Recognition Using Python

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