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Titlebook: Deep Learning and Edge Computing Solutions for High Performance Computing; A. Suresh,Sara Paiva Book 2021 Springer Nature Switzerland AG 2

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書目名稱Deep Learning and Edge Computing Solutions for High Performance Computing
編輯A. Suresh,Sara Paiva
視頻videohttp://file.papertrans.cn/265/264593/264593.mp4
概述Identifies deep learning techniques in mobile edge data analytics and computing environments suitable for applications in healthcare.Introduces big data analytics to the sources available and possible
叢書名稱EAI/Springer Innovations in Communication and Computing
圖書封面Titlebook: Deep Learning and Edge Computing Solutions for High Performance Computing;  A. Suresh,Sara Paiva Book 2021 Springer Nature Switzerland AG 2
描述This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for applications in healthcare are also discussed. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.
出版日期Book 2021
關(guān)鍵詞Deep Learning in Healthcare Applications; High performance Computing systems in Healthcare Applicatio
版次1
doihttps://doi.org/10.1007/978-3-030-60265-9
isbn_softcover978-3-030-60267-3
isbn_ebook978-3-030-60265-9Series ISSN 2522-8595 Series E-ISSN 2522-8609
issn_series 2522-8595
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Understanding Deep Learning: Case Study Based Approach,e a better analysis. With deep learning, all layers learn the input data and transform it into a more abstract and composite format. The word “deep” means higher numbers of hidden layers in which the data from one layer to another is transformed to generate the most accurate outcome. Deep learning a
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