Practical Machine Learning for Computer Vision: End-to-End Machine Learning for

Description: Practical Machine Learning for Computer Vision by Valliappa Lakshmanan, Ryan Gillard, Martin Goerner This 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This 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.Google engineers Valliappa Lakshmanan, Martin Gorner, 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. Youll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.Youll learn how to:Design ML architecture for computer vision tasksSelect a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your taskCreate an end-to-end ML pipeline to train, evaluate, deploy, and explain your modelPreprocess images for data augmentation and to support learnabilityIncorporate explainability and responsible AI best practicesDeploy image models as web services or on edge devicesMonitor and manage ML models Author Biography Valliappa (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. Martin Goerner is a product manager for Keras/TensorFlow focused on improving the developer experience when using state-of-the-art models. Hes passionate about science, technology, coding, algorithms, and everything in between. Ryan Gillard is an AI engineer in Google Clouds 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. Details ISBN1098102363 Author Martin Goerner Short Title Practical Machine Learning for Computer Vision Pages 350 Language English Year 2021 ISBN-10 1098102363 ISBN-13 9781098102364 Format Paperback Audience Professional and Scholarly Place of Publication Sebastopol Country of Publication United States Publication Date 2021-08-31 AU Release Date 2021-08-31 NZ Release Date 2021-08-31 US Release Date 2021-08-31 UK Release Date 2021-08-31 Publisher OReilly Media Imprint OReilly Media Subtitle End-to-End Machine Learning for Images DEWEY 006.37 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:133070248;

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