Deep Learning and Parallel Computing Environment for Bioengineering Systems

This PDF book is become immediate popular in Computers genre. Deep Learning and Parallel Computing Environment for Bioengineering Systems is written by famous author Arun Kumar Sangaiah and Ready to Download in ePUB, PDF or Kindle formats. Released by Academic Press in 2019-07-26. Click Download Book button to get book file and read directly from your devices. Here is a quick description and cover image of Deep Learning and Parallel Computing Environment for Bioengineering Systems book.

Deep Learning and Parallel Computing Environment for Bioengineering Systems
Author :
Publisher : Academic Press
Release Date :
ISBN : 9780128172933
Pages : 280 pages
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Deep Learning and Parallel Computing Environment for Bioengineering Systems by Arun Kumar Sangaiah Book PDF Summary

Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas. Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data


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