Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps by Valliappa Lakshmanan, Martin Görner, Ryan Gillard
Requirements: .ePUB reader, 52.12 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/rguyqjxxtdkj
https://dropgalaxy.vip/s7ng8r6fwi8m
Trouble downloading? Read This.
Requirements: .ePUB reader, 52.12 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/rguyqjxxtdkj
https://dropgalaxy.vip/s7ng8r6fwi8m
Trouble downloading? Read This.
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