Name: Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (en Inglés)
Price: 42690.00 CLP
Availability: InStock
Author: S, Mugesh
ISBN: 9789388590877

portada Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (en Inglés)

Formato

Libro Físico

Autor

Mugesh S

Editorial

Orange Education Pvt Ltd

Idioma

Inglés

N° páginas

338

Encuadernación

Tapa Blanda

Dimensiones

23.5 x 19.1 x 1.8 cm

Peso

0.58 kg.

ISBN13

9789388590877

Categorías

Redes neuronales y sistemas difusos

Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (en Inglés)

Mugesh S (Autor) · Orange Education Pvt Ltd · Tapa Blanda

Libro Físico

$ 42.690

$ 85.370

Ahorras: $ 42.680

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Miércoles 05 de Junio y el Lunes 17 de Junio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (en Inglés)"

DESCRIPTIONThis book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It's an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. TABLE OF CONTENTS Chapter 1: Getting Started With OpenCV Chapter 2: Basic Image & Video Analytics in OpenCVChapter 3: Image Processing 1 using OpenCVChapter 4: Image Processing 2 using OpenCVChapter 5: Thresholding and Contour Techniques Using OpenCV Chapter 6: Detect Corners and Road Lane using OpenCVChapter 7: Object And Motion Detection Using OpencvChapter 8: Image Segmentation and Detecting Faces Using OpenCVChapter 9: Introduction to Deep Learning with OpenCVChapter 10: Advance Deep Learning Projects with OpenCVChapter 11: Deployment of OpenCV projectsBy the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python.