Practical Machine Learning for Computer Vision: End-To-End Machine Learning for Images Contributor(s): Lakshmanan, Valliappa (Author), Görner, Martin (Author), Gillard, Ryan (Author) |
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ISBN: 1098102363 ISBN-13: 9781098102364 Publisher: O'Reilly Media OUR PRICE: $80.99 Product Type: Paperback Published: August 2021 |
Additional Information |
BISAC Categories: - Computers | Neural Networks - Computers | Computer Vision & Pattern Recognition |
Dewey: 006.37 |
Physical Information: 1.1" H x 6.93" W x 9.06" (1.70 lbs) 480 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. You'll learn how to:
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