Titlebook: Deep Learning: Convergence to Big Data Analytics; Murad Khan,Bilal Jan,Haleem Farman Book 2019 The Author(s), under exclusive license to S

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Deep Learning Methods and Applications,n various fields. Deep learning has substantially improved the predictive capacity of computing devices, due to the availability of big data, with the help of superior learning algorithms. It has made it possible as well as practical to integrate machine learning with sophisticated applications incl

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Integration of Big Data and Deep Learning,rchers introduce the concept of deep learning to address the aforementioned challenge. However, big data analytics required a process consists of various steps where in each step an algorithm or a bunch of algorithm can be used. This chapter explains the role of machine learning in processing big da

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Future of Big Data and Deep Learning for Wireless Body Area Networks,data. It has the ability to find the optimum set of parameters for the network layers using a back-propagation algorithm, thereby modeling intricate structures in the data distribution. Further, deep learning architectures have resulted in tremendous performance on most recent machine learning chall

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2191-5768 y level understanding of the new programming languages and t.This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time

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