{"product_id":"tensorflow-2-0-computer-vision-cookbook-implement-machine-learning-solutions-to-overcome-various-computer-vision-challenges-paperback","title":"TensorFlow 2.0 Computer Vision Cookbook: Implement machine learning solutions to overcome various computer vision challenges - Paperback","description":"\u003cp\u003eby \u003cb\u003eJesús Martínez\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGet well versed with state-of-the-art techniques to tailor training processes and boost the performance of computer vision models using machine learning and deep learning techniques\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\u003eDevelop, train, and use deep learning algorithms for computer vision tasks using TensorFlow 2.x\u003c\/li\u003e\n\u003cli\u003eDiscover practical recipes to overcome various challenges faced while building computer vision models\u003c\/li\u003e\n\u003cli\u003eEnable machines to gain a human level understanding to recognize and analyze digital images and videos\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 is a scientific field that enables machines to identify and process digital images and videos. This book focuses on independent recipes to help you perform various computer vision tasks using TensorFlow.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe book begins by taking you through the basics of deep learning for computer vision, along with covering TensorFlow 2.x's key features, such as the Keras and tf.data.Dataset APIs. You'll then learn about the ins and outs of common computer vision tasks, such as image classification, transfer learning, image enhancing and styling, and object detection. The book also covers autoencoders in domains such as inverse image search indexes and image denoising, while offering insights into various architectures used in the recipes, such as convolutional neural networks (CNNs), region-based CNNs (R-CNNs), VGGNet, and You Only Look Once (YOLO).\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eMoving on, you'll discover tips and tricks to solve any problems faced while building various computer vision applications. Finally, you'll delve into more advanced topics such as Generative Adversarial Networks (GANs), video processing, and AutoML, concluding with a section focused on techniques to help you boost the performance of your networks.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this TensorFlow book, you'll be able to confidently tackle a wide range of computer vision problems using TensorFlow 2.x.\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\u003eUnderstand how to detect objects using state-of-the-art models such as YOLOv3\u003c\/li\u003e\n\u003cli\u003eUse AutoML to predict gender and age from images\u003c\/li\u003e\n\u003cli\u003eSegment images using different approaches such as FCNs and generative models\u003c\/li\u003e\n\u003cli\u003eLearn how to improve your network's performance using rank-N accuracy, label smoothing, and test time augmentation\u003c\/li\u003e\n\u003cli\u003eEnable machines to recognize people's emotions in videos and real-time streams\u003c\/li\u003e\n\u003cli\u003eAccess and reuse advanced TensorFlow Hub models to perform image classification and object detection\u003c\/li\u003e\n\u003cli\u003eGenerate captions for images using CNNs and RNNs\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\u003eThis book is for computer vision developers and engineers, as well as deep learning practitioners looking for go-to solutions to various problems that commonly arise in computer vision. You will discover how to employ modern machine learning (ML) techniques and deep learning architectures to perform a plethora of computer vision tasks. Basic knowledge of Python programming and computer vision is required.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 542\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.09 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 26, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51754983686432,"sku":"9781838829131","price":66.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/39c5dc9fce3e9751a0a0e5e7fb255564.webp?v=1780047614","url":"https:\/\/ebocreations.com\/products\/tensorflow-2-0-computer-vision-cookbook-implement-machine-learning-solutions-to-overcome-various-computer-vision-challenges-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}