{"product_id":"9781617296192","title":"Deep Learning for Vision Systems","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eElgendy, Mohamed\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e11\/10\/2020\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eHow does the computer learn to understand what it sees? \u003ci\u003eDeep Learning for Vision Systems\u003c\/i\u003e answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003eComputer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). \u003ci\u003eDeep Learning for Vision Systems\u003c\/i\u003e teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you’ll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision!\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eHow much has computer vision advanced? One ride in a Tesla is the only answer you’ll need. Deep learning techniques have led to exciting breakthroughs in facial recognition, interactive simulations, and medical imaging, but nothing beats seeing a car respond to real-world stimuli while speeding down the highway.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003eHow does the computer learn to understand what it sees? \u003ci\u003eDeep Learning for Vision Systems\u003c\/i\u003e answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eImage classification and object detection\u003cbr\u003eAdvanced deep learning architectures\u003cbr\u003eTransfer learning and generative adversarial networks\u003cbr\u003eDeepDream and neural style transfer\u003cbr\u003eVisual embeddings and image search\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003eFor intermediate Python programmers.\u003cbr\u003e\u003cbr\u003e\u003cb\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003eMohamed Elgendy\u003c\/b\u003e is the VP of Engineering at Rakuten. A seasoned AI expert, he has previously built and managed AI products at Amazon and Twilio.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003ePART 1 - DEEP LEARNING FOUNDATION\u003cbr\u003e\u003cbr\u003e1 Welcome to computer vision\u003cbr\u003e\u003cbr\u003e2 Deep learning and neural networks\u003cbr\u003e\u003cbr\u003e3 Convolutional neural networks\u003cbr\u003e\u003cbr\u003e4 Structuring DL projects and hyperparameter tuning\u003cbr\u003e\u003cbr\u003ePART 2 - IMAGE CLASSIFICATION AND DETECTION\u003cbr\u003e\u003cbr\u003e5 Advanced CNN architectures\u003cbr\u003e\u003cbr\u003e6 Transfer learning\u003cbr\u003e\u003cbr\u003e7 Object detection with R-CNN, SSD, and YOLO\u003cbr\u003e\u003cbr\u003ePART 3 - GENERATIVE MODELS AND VISUAL EMBEDDINGS\u003cbr\u003e\u003cbr\u003e8 Generative adversarial networks (GANs)\u003cbr\u003e\u003cbr\u003e9 DeepDream and neural style transfer\u003cbr\u003e\u003cbr\u003e10 Visual embeddings","brand":"Manning","offers":[{"title":"Default Title","offer_id":44580991992063,"sku":"9781617296192","price":49.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_1a7a34a5-059f-4308-85c1-9be31c9bbb1e.jpg?v=1771352088","url":"https:\/\/massivebookshop.com\/products\/9781617296192","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}