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Titlebook: Building Computer Vision Applications Using Artificial Neural Networks; With Examples in Ope Shamshad Ansari Book 2023Latest edition Shamsh

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發(fā)表于 2025-3-21 17:46:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Building Computer Vision Applications Using Artificial Neural Networks
期刊簡(jiǎn)稱With Examples in Ope
影響因子2023Shamshad Ansari
視頻videohttp://file.papertrans.cn/192/191611/191611.mp4
發(fā)行地址Covers developing AI-enabled computer vision applications, computer vision techniques, and best practices.Gives line-by-line explanations of working code examples.Explains training neural networks inv
圖書封面Titlebook: Building Computer Vision Applications Using Artificial Neural Networks; With Examples in Ope Shamshad Ansari Book 2023Latest edition Shamsh
影響因子.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 extractionmethods.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
Pindex Book 2023Latest edition
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發(fā)表于 2025-3-21 21:42:35 | 只看該作者
Applying differential calculus,This chapter introduces the building blocks of an image and describes various methods to manipulate them. Our learning objectives in this chapter are as follows:
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發(fā)表于 2025-3-22 07:26:27 | 只看該作者
*Continuous Mappings (General Theory),Computer vision has numerous applications in industrial manufacturing, one of which is its role in automating visual inspections to ensure quality control and assurance, which is the focus of this chapter.
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Core Concepts of Image and Video Processing,This chapter introduces the building blocks of an image and describes various methods to manipulate them. Our learning objectives in this chapter are as follows:
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發(fā)表于 2025-3-22 18:41:14 | 只看該作者
Deep Learning and Artificial Neural Networks,In this chapter, we delve into the world of applied deep learning and artificial neural networks. Our primary focus will be on their application in computer vision. To facilitate your understanding, working code examples are provided throughout the chapter.
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Ordinary differential equations,er vision systems using machine learning. This chapter serves as an introduction to Chapter ., where you will gain insights into different deep learning algorithms and learn how to implement them in Python with TensorFlow.
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