Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
暫譯: 實用機器學習與影像處理:使用 Python 進行臉部識別、物體檢測與模式識別

Singh, Himanshu (Author)

  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-1
  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-2
  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-3
  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-4
  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-5
  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-6
  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-7
  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-8
  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-9
  • Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-10
Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python -preview-1

買這商品的人也買了...

商品描述

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

商品描述(中文翻譯)

獲得有關影像處理方法論和演算法的深入了解,使用機器學習和神經網絡在 Python 中進行實作。本書首先介紹環境設置、基本影像處理術語的理解,以及探索在本書中實現所討論演算法所需的 Python 概念。接著,您將詳細涵蓋所有核心影像處理演算法,然後轉向最大的計算機視覺庫:OpenCV。您將看到 OpenCV 演算法以及如何使用它們進行影像處理。

接下來的部分將探討用於影像處理和分類的進階機器學習和深度學習方法。您將處理脈衝耦合神經網絡(pulse coupled neural networks)、AdaBoost、XG boost 和卷積神經網絡(convolutional neural networks)等概念,這些概念適用於特定影像應用。稍後,您將探索如何在實時中建立模型,然後使用各種 DevOps 工具進行部署。

《實用機器學習與影像處理》中的所有概念都使用真實場景進行解釋。閱讀完本書後,您將能夠應用影像處理技術並為定制應用製作機器學習模型。

您將學到的內容:

- 發現影像處理演算法及其在 Python 中的應用
- 使用 OpenCV 庫探索影像處理
- 使用 TensorFlow、scikit-learn、NumPy 和其他庫
- 使用機器學習和深度學習演算法進行影像處理
- 將影像處理技術應用於五個實時專案

作者簡介

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.

作者簡介(中文翻譯)

Himanshu Singh 擁有超過五年的數據科學專業經驗。目前,他是 Unify Technologies Private Limited 的高級數據科學家。他提供有關數據科學、機器學習 (ML) 和深度學習 (DL) 的企業培訓。他也是印度著名管理學院之一的 Narsee Monjee Institute of Management Studies 的分析學訪問講師。他是 Black Feathers Analytics 和 Rise of Literati Clubs 的創始人。