ISBN-13: 9789819918386, 978-9819918386. Solutions to these challenges can improve image quality and reveal new information currently obscured by noise, artifacts, or other signals. Holistic insight is the key to solving these challenges.
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A brief survey of deep learning architectures is also included. Software developers in a data science team who want to take deep learning models developed by data scientists to production.
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ISBN-13: 9781491995846, 978-1491995846. Deep Learning Cookbook. Deep learning doesnt have to be intimidating. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if youre stuck.
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ISBN-13: 9789811957222, 978-9811957222. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs.
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ISBN-13: 9781718500747, 978-1718500747. Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. Practical Deep Learning A Python-Based Introduction.
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ISBN-13: 9781032391663, 978-1032391663. Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing. Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience.
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ISBN-13: 9783030060725, 978-3030060725. This book will serve as a useful reference for senior (undergraduate or graduate) students in computer science, statistics, electrical engineering, as well as others interested in studying or exploring the potential of exploiting deep learning algorithms.
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