作者:Valliappa Lakshmanan, Martin Görner, Ryan Gillard
出版时间:2021年7月
出版社:O'Reilly Media
内容简介: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.
格式:PDF
Practical Machine Learning for Computer Vision (2021).pdf
(56.15 MB, 需要: 10 个论坛币)


雷达卡





京公网安备 11010802022788号







