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Añadir al carritoCondición: Gut. Zustand: Gut | Seiten: 463 | Sprache: Englisch | Produktart: Bücher.
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Publicado por O'Reilly Media 8/10/2021, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Idioma: Inglés
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Añadir al carritoPaperback or Softback. Condición: New. Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images 1.68. Book.
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Añadir al carritoPaperback. Condición: New. 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 Goerner, 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.You'll 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.
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Añadir al carritoPaperback. Condición: New. 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 Goerner, 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.You'll 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.
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Publicado por O'Reilly Media, Inc, USA, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Idioma: Inglés
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EUR 82,10
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Añadir al carritoPaperback. Condición: New. 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 Goerner, 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.You'll 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.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 91,43
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Añadir al carritoPaperback. Condición: New. 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 Goerner, 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.You'll 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.
Publicado por Oreilly & Associates Inc, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 89,23
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Añadir al carritoPaperback. Condición: Brand New. 350 pages. 9.19x7.00x0.97 inches. In Stock.
Publicado por O'reilly Media Sep 2021, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 90,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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. 463 pp. Englisch.
Publicado por O'reilly Media Sep 2021, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Idioma: Inglés
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 90,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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. 463 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por O'reilly Media Sep 2021, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Idioma: Inglés
Librería: Wegmann1855, Zwiesel, Alemania
EUR 90,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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.
Publicado por O'reilly Media Sep 2021, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 91,07
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - 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.
Publicado por O'Reilly Media (edition 1), 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 40,12
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Añadir al carritoPaperback. Condición: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Publicado por O'reilly Media Sep 2021, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 90,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 463 pp. Englisch.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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