Name: Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python (en Inglés)
Price: 61750.00 CLP
Availability: InStock
Author: Singh, Himanshu
ISBN: 9781484241486

portada Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python (en Inglés)

Formato

Libro Físico

Autor

Himanshu Singh

Editorial

Apress

Año

2019

Idioma

Inglés

N° páginas

169

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.0 cm

Peso

0.27 kg.

ISBN13

9781484241486

N° edición

Categorías

Lenguajes de programación scripting
Ciencias de la computación

Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python (en Inglés)

Himanshu Singh (Autor) · Apress · Tapa Blanda

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Reseña del libro "Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python (en Inglés)"

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 LearnDiscover image-processing algorithms and their applications using PythonExplore image processing using the OpenCV libraryUse TensorFlow, scikit-learn, NumPy, and other librariesWork with machine learning and deep learning algorithms for image processingApply image-processing techniques to five real-time projectsWho This Book Is ForData scientists and software developers interested in image processing and computer vision.