Practical Machine Learning for Computer Vision PDF

Practical Machine Learning for Computer Vision PDF
Practical Machine Learning for Computer Vision PDF
eBook: Practical Machine Learning for Computer Vision PDF : End-to-End Machine Learning for Images 1st Edition by Valliappa Lakshmanan, Martin Görner and Ryan Gillard

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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 Görner, 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. The eBook is curated from reddit, github and the web. So, without waiting for a second, download free o'reilly pdf from the below given link.

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Machine Learning Ebooks
August 31, 2021
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