Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis精品.pdf

Big Data Research 8 (2017) 50–56 Contents lists available at ScienceDirect Big Data Research /locate/bdr Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis ✩ Alcides Fonseca ∗, Bruno Cabral University of Coimbra, Portugal a r t i c l e i n f o a b s t r a c t Article history: Big Data concerns with large-volume complex growing data. Given the fast development of data storage Received 17 April 2016 and network, organizations are collecting large ever-growing datasets that can have useful information. Received in revised form 14 November 2016 In order to extract information from these datasets within useful time, it is important to use distributed Accepted 20 January 2017 and parallel algorithms. Available online 3 February 2017 One common usage of big data is machine learning, in which collected data is used to predict future Keywords: behavior. Deep-Learning using Artificial Neural Networks is one of the popular methods for extracting Big-data information from complex datasets. Deep-learning is capable of more creating complex models than Deep-learning traditional probabilistic machine learning techniques. Prototyping T