Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
| Autor: | Valliappa Lakshmanan, Martin Goerner, Ryan Gillard |
| Lehekülgede arv: | 350 |
| Ilmumisaasta: | 2021 |
| Kauba ID: | 21155513 |
Toote kirjeldus: Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
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
Üldine tooteinfo: Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
| Kauba ID: | 21155513 |
| Kategooria: | Majandusalased raamatud |
| Tootepakendite arv: | 1 tk. |
| Paki suurus ja kaal (1): | 0,3 x 0,3 x 0,1 m, 0,2 kg |
| Kirjastus: | O'Reilly Media |
| Raamatu keel: | Inglise keel |
| Kaane tüüp: | Pehmekaaneline |
| Tüüp: | Täpsustamata |
| Autor: | Valliappa Lakshmanan, Martin Goerner, Ryan Gillard |
| Lehekülgede arv: | 350 |
| Ilmumisaasta: | 2021 |
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