… the flair of Deep Learning for analyzing data generated from … Deep Learning architectures,
their role in IoT data analytics … have leveraged deep learning models for IoT data analytics. …

… This work introduces Wearable deep learning (WearableDL) … the convergence of deep learning
(DL), Internet-of-things (IoT), … , represents deep learning for cloud computing and big data …

… of various deep learning techniques used for big data analytics. Moreover, a detailed
classification of big data tools … The deep learning techniques are broadly classified for big data …

… data analytics. The main contributions are the reduction of network traffic and latencies for
machine learning … and the evaluation of the degree of data reduction that can be achieved on …

… that have addressed machine learning for IoT, we review the stateof-the-art DL methods
and their applicability in the IoT domain both for big data and streaming data analytics. • We …

… can be improved to reflect certain challenges associated with Big Data Analytics. With … of
Deep Learning for specific Big Data Analytics, including learning from massive volumes of data, …

… Intelligent processing and analysis of this big data are the key to developing smart IoT …
the various machine learning methods that deal with the challenges presented by IoT data by …

… data has led to the appearance and development of real-time data analytics, including Machine
Learning … Recently, IoT big data analytics has become a very popular research domain [8…

… resources for complex data analytics tasks. Consequently, this … data analytics and presents
a deep learning-based approach for data reduction on the edge with the machine learning on …

… and suggest deep learning techniques for big data analytics. … sophisticated real-time deep
learning analytics for cross-layer … and cross-domain big data analytics,(3) survey and tutorials …