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Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images - Valliappa Lakshmanan
EAN: 9781098102364
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Descriere Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images - Valliappa Lakshmanan
\n \nThis 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.\n \nGoogle engineers Valliappa Lakshmanan, Martin G�rner, 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.\n \nYou'll learn how to: \n \n- Design ML architecture for computer vision tasks \n- Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task \n- Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model \n- Preprocess images for data augmentation and to support learnability \n- Incorporate explainability and responsible AI best practices \n- Deploy image models as web services or on edge devices \n- Monitor and manage ML models
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