Building Computer Vision Applications Using Artificial Neural Networks: With Examples in Opencv and Tensorflow with Python
暫譯: 使用人工神經網絡構建計算機視覺應用：以 Python 的 OpenCV 和 TensorFlow 為例

Ansari, Shamshad

Building Computer Vision Applications Using Artificial Neural Networks: With Examples in Opencv and Tensorflow with Python

相關主題

商品描述

Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition's publication. All code used in the book has also been fully updated.

This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you'll gain a thorough understanding of them. The book's source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python.

Upon completing this book, you'll have the knowledge and skills to build your own computer vision applications using neural networks

What You Will Learn

  • Understand image processing, manipulation techniques, and feature extraction methods
  • Work with convolutional neural networks (CNN), single-shot detector (SSD), and YOLO
  • Utilize large scale model development and cloud infrastructure deployment
  • Gain an overview of FaceNet neural network architecture and develop a facial recognition system

Who This Book Is For

Those who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students.

商品描述(中文翻譯)

電腦視覺不斷演進，本書已更新以反映自第一版出版以來在該領域出現的新主題。本書中使用的所有程式碼也已全面更新。

本第二版包含了新的內容，涵蓋了影像處理實務、影像分割、特徵提取和物體識別，並使用實際案例來幫助加強每個概念的理解。這些主題對於構建先進的電腦視覺應用程式至關重要，您將對它們有透徹的理解。本書的源碼已從 TensorFlow 1.x 更新至 2.x，並包含使用 OpenCV 和 TensorFlow 與 Python 的逐步範例。

完成本書後，您將具備使用神經網絡構建自己的電腦視覺應用程式的知識和技能。

您將學到的內容：
- 理解影像處理、操作技術和特徵提取方法
- 使用卷積神經網絡 (CNN)、單次檢測器 (SSD) 和 YOLO
- 利用大規模模型開發和雲基礎設施部署
- 獲得 FaceNet 神經網絡架構的概述並開發面部識別系統

本書適合對象：
對 Python 程式設計有扎實理解並希望了解電腦視覺和機器學習的人士。這對數據科學家、深度學習專家和學生將大有裨益。

作者簡介

Shamshad (Sam) Ansari is an author, inventor, and thought leader in the fields of computer vision, machine learning, artificial intelligence, and cognitive science. He has extensive experience in high scale, distributed, and parallel computing. Sam currently serves as an Adjunct Professor at George Mason University, teaching graduate- level programs within the Data Analytics Engineering department of the Volgenau School of Engineering. His areas of instruction encompass machine learning, natural language processing, and computer vision, where he imparts his knowledge and expertise to aspiring professionals.

Having authored multiple publications on topics such as machine learning, RFID, and high-scale enterprise computing, Sam's contributions extend beyond academia. He holds four US patents related to healthcare AI, showcasing his innovative mindset and practical application of technology.

Throughout his extensive 20+ years of experience in enterprise software development, Sam has been involved with several tech startups and early-stage companies. He has played pivotal roles in building and expanding tech teams from the ground up, contributing to their eventual acquisition by larger organizations. At the beginning of his career, he worked with esteemed institutions such as the US Department of Defense (DOD) and IBM, honing his skills and knowledge in the industry.

Currently, Sam serves as the President and CEO of Accure, Inc., an AI company that he founded. He is the creator, architect, and a significant contributor to Momentum AI, a no-code platform that encompasses data engineering, machine learning, AI, MLOps, data warehousing, and business intelligence. Throughout his career, Sam has made notable contributions in various domains including healthcare, retail, supply chain, banking and finance, and manufacturing. Demonstrating his leadership skills, he has successfully managed teams of software engineers, data scientists, and DevSecOps professionals, leading them to deliver exceptional results. Sam earned his bachelor's degree in engineering from Birsa Institute of Technology (BIT) Sindri and subsequently a Master's degree from the prestigious Indian Institute of Information Technology and Management Kerala (IIITM-K).

作者簡介(中文翻譯)

**Shamshad (Sam) Ansari** 是計算機視覺、機器學習、人工智慧和認知科學領域的作者、發明家和思想領袖。他在大規模、分散式和並行計算方面擁有豐富的經驗。Sam 目前擔任喬治梅森大學的兼任教授，教授沃爾根納工程學院數據分析工程系的研究生課程。他的教學領域包括機器學習、自然語言處理和計算機視覺，並將他的知識和專業技能傳授給有志於此的專業人士。

Sam 在機器學習、RFID 和大規模企業計算等主題上發表了多篇出版物，他的貢獻超越了學術界。他擁有四項與醫療保健人工智慧相關的美國專利，展示了他的創新思維和技術的實際應用。

在超過 20 年的企業軟體開發經驗中，Sam 參與了多家科技初創公司和早期階段公司。他在從零開始建立和擴展技術團隊方面發揮了關鍵作用，並促成了這些團隊最終被更大組織收購。在職業生涯的初期，他曾與美國國防部 (DOD) 和 IBM 等知名機構合作，磨練了他在行業中的技能和知識。

目前，Sam 擔任他創立的人工智慧公司 Accure, Inc. 的總裁兼首席執行官。他是 Momentum AI 的創建者、架構師和重要貢獻者，這是一個涵蓋數據工程、機器學習、人工智慧、MLOps、數據倉儲和商業智慧的無代碼平台。在他的職業生涯中，Sam 在醫療保健、零售、供應鏈、銀行和金融以及製造等多個領域做出了顯著貢獻。展現了他的領導能力，他成功管理了軟體工程師、數據科學家和 DevSecOps 專業人士的團隊，帶領他們交付卓越的成果。Sam 在比爾薩技術學院 (BIT) Sindri 獲得工程學學士學位，隨後在印度信息技術與管理學院喀拉拉 (IIITM-K) 獲得碩士學位。

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