| 期刊全称 | Building Computer Vision Applications Using Artificial Neural Networks | | 期刊简称 | With Examples in Ope | | 影响因子2023 | Shamshad Ansari | | 视频video | | | 发行地址 | 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 | | 图书封面 |  | | 影响因子 | .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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发表于 2025-3-21 17:46:15
