Mastering Computer Vision with TensorFlow 2.x 1st edition by Krishnendu Kar – Ebook PDF Instant Download/Delivery: 1838827064 , 978-1838827069
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Product details:
ISBN 10: 1838827064
ISBN 13: 978-1838827069
Author: Krishnendu Kar
Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You’ll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you’ll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you’ll learn to use visual search methods using transfer learning. You’ll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN’s, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You’ll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you’ll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you’ll have a solid understanding of computer vision and be able to confidently develop models to automate tasks.
Mastering Computer Vision with TensorFlow 2.x 1st Table of contents:
Chapter1 : Introduction
Chapter 2: Content
Chapter 3: Conclusion
Chapter 4: Appendices
Chapter 5: Glossary
Chapter 6: References
Chapter 7: Index
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