{"product_id":"hands-on-computer-vision-with-tensorflow-benjamin-planche-9781788830645","title":"Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras","description":"\u003cp\u003e\u003cstrong\u003eA practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras\u003c\/li\u003e\n\u003cli\u003eApply modern solutions to a wide range of applications such as object detection and video analysis\u003c\/li\u003e\n\u003cli\u003eLearn how to run your models on mobile devices and web pages and improve their performance\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eComputer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eHands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat you will learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCreate your own neural networks from scratch\u003c\/li\u003e\n\u003cli\u003eClassify images with modern architectures including Inception and ResNet\u003c\/li\u003e\n\u003cli\u003eDetect and segment objects in images with YOLO, Mask R-CNN, and U-Net\u003c\/li\u003e\n\u003cli\u003eTackle problems faced when developing self-driving cars and facial emotion recognition systems\u003c\/li\u003e\n\u003cli\u003eBoost your application's performance with transfer learning, GANs, and domain adaptation\u003c\/li\u003e\n\u003cli\u003eUse recurrent neural networks (RNNs) for video analysis\u003c\/li\u003e\n\u003cli\u003eOptimize and deploy your networks on mobile devices and in the browser\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIf you're new to deep learning and have some background in Python programming and image processing, like reading\/writing image files and editing pixels, this book is for you. Even if you're an expert curious about the new TensorFlow 2 features, you'll find this book useful.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eWhile some theoretical concepts require knowledge of algebra and calculus, the book covers concrete examples focused on practical applications such as visual recognition for self-driving cars and smartphone apps.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Benjamin Planche, Eliot Andres\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1788830644\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781788830645\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Packt Publishing\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/30\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 372\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.41lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.50w x 0.77d","brand":"Benjamin Planche","offers":[{"title":"Paperback","offer_id":43979695259903,"sku":"9781788830645","price":38.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_6dccc79b-6514-4f36-899f-1bed7dfcc0d3.jpg?v=1683246545","url":"https:\/\/www.whiterainbookhouse.com\/products\/hands-on-computer-vision-with-tensorflow-benjamin-planche-9781788830645","provider":"WR Book House","version":"1.0","type":"link"}