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Practical Machine Learning Computer by Lakshmanan Valliappa (40 results)
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Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.8.
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Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
Published by O'Reilly Media (edition 1), 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Language: English
Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
Published by O'Reilly Media (edition 1), 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Language: English
Paperback. Condition: As New. 1. It's a preowned item in almost perfect condition. It has no visible cosmetic imperfections. May come without any shrink wrap; pages are clean and not marred by notes or folds of any kind.
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Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images (Paperback or Softback)
Published by O'Reilly Media 8/10/2021, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Language: English
Paperback or Softback. Condition: New. Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images 1.68. Book.
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Paperback. Condition: 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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Practical Machine Learning for Computer Vision (Paperback)
Published by O'Reilly Media, Sebastopol, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Language: English
Paperback. Condition: new. Paperback. 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. 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 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Practical Machine Learning for Computer Vision : End-to-End Machine Learning for Images
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Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
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Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
Published by O'Reilly Media, Inc, USA 2021-10-31, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Language: English
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Practical Machine Learning for Computer Vision : End-to-End Machine Learning for Images
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Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
Published by O'Reilly Media, Inc, USA, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Practical Machine Learning for Computer Vision
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Add to basketPaperback. Condition: 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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Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
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Add to basketPaperback. Condition: 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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Practical Machine Learning for Computer Vision
Published by O'reilly Media Sep 2021, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: 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.
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Practical Machine Learning for Computer Vision
Published by O'reilly Media Sep 2021, 2021
ISBN 10: 1098102363 ISBN 13: 9781098102364
Language: English
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 108.29
Convert currencyUS$ 27.02 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: 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.
