{"product_id":"practical-machine-learning-for-computer-vision-end-to-end-machine-learning-for-images-9781098102364","title":"Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images","description":"\u003cp\u003eThis practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability.\u003c\/p\u003e\u003cp\u003eGoogle engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.\u003c\/p\u003e\u003cp\u003eYou'll learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDesign ML architecture for computer vision tasks\u003c\/li\u003e\n\u003cli\u003eSelect a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task\u003c\/li\u003e\n\u003cli\u003eCreate an end-to-end ML pipeline to train, evaluate, deploy, and explain your model\u003c\/li\u003e\n\u003cli\u003ePreprocess images for data augmentation and to support learnability\u003c\/li\u003e\n\u003cli\u003eIncorporate explainability and responsible AI best practices\u003c\/li\u003e\n\u003cli\u003eDeploy image models as web services or on edge devices\u003c\/li\u003e\n\u003cli\u003eMonitor and manage ML models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-6483405\"\u003eValliappa Lakshmanan\u003c\/a\u003e, \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-14407455\"\u003eMartin Görner\u003c\/a\u003e, \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-14407457\"\u003eRyan Gillard\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/10\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 482\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.70lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.06h x 6.93w x 1.10d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9781098102364\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 1098102363\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM044000\"\u003eData Science | Neural Networks\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM016000\"\u003eArtificial Intelligence | Computer Vision \u0026amp; Pattern Recognit\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM094000\"\u003eData Science | Machine Learning\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eValliappa (Lak) Lakshmanan is the director of analytics and AI solutions at Google Cloud, where he leads a team building cross-industry solutions to business problems. His mission is to democratize machine learning so that it can be done by anyone anywhere.\u003c\/p\u003e\u003cp\u003eMartin Görner is a product manager for Keras\/TensorFlow focused on improving the developer experience when using state-of-the-art models. He's passionate about science, technology, coding, algorithms, and everything in between.\u003c\/p\u003e\u003cp\u003eRyan Gillard is an AI engineer in Google Cloud's Professional Services organization, where he builds ML models for a wide variety of industries. He started his career as a research scientist in the hospital and healthcare industry. With degrees in neuroscience and physics, he loves working at the intersection of those disciplines exploring intelligence through mathematics.\u003c\/p\u003e","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":45876722761903,"sku":"9781098102364","price":89.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0651\/9255\/8767\/files\/img_c167e1b8-a1de-4171-a2ca-45c0ebbb1cf4.jpg?v=1757694544","url":"https:\/\/www.correctionsbookstore.com\/es\/products\/practical-machine-learning-for-computer-vision-end-to-end-machine-learning-for-images-9781098102364","provider":"Corrections Bookstore ","version":"1.0","type":"link"}