{"product_id":"mastering-computer-vision-with-tensorflow-2-x-build-advanced-computer-vision-applications-using-machine-learning-and-deep-learning-techniques-paperback","title":"Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKrishnendu Kar\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eApply neural network architectures to build state-of-the-art computer vision applications using the Python programming language\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eGain a fundamental understanding of advanced computer vision and neural network models in use today\u003c\/li\u003e \u003cli\u003eCover tasks such as low-level vision, image classification, and object detection\u003c\/li\u003e \u003cli\u003eDevelop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkit\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eComputer 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.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eExplore methods of feature extraction and image retrieval and visualize different layers of the neural network model\u003c\/li\u003e \u003cli\u003eUse TensorFlow for various visual search methods for real-world scenarios\u003c\/li\u003e \u003cli\u003eBuild neural networks or adjust parameters to optimize the performance of models\u003c\/li\u003e \u003cli\u003eUnderstand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpainting\u003c\/li\u003e \u003cli\u003eEvaluate your model and optimize and integrate it into your application to operate at scale\u003c\/li\u003e \u003cli\u003eGet up to speed with techniques for performing manual and automated image annotation\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThis book is for computer vision professionals, image processing professionals, machine learning engineers and AI developers who have some knowledge of machine learning and deep learning and want to build expert-level computer vision applications. In addition to familiarity with TensorFlow, Python knowledge will be required to get started with this book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 430\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.87 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 14, 2020\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43157415395391,"sku":"9781838827069","price":70.54,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/CMyIuGmv-s9781838827069.webp?v=1776981025","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/mastering-computer-vision-with-tensorflow-2-x-build-advanced-computer-vision-applications-using-machine-learning-and-deep-learning-techniques-paperback","provider":"BBB","version":"1.0","type":"link"}