Big Data Deep Learning: Challenges and Perspectives

Deep learning is currently an extremely active research area in machine learning and pattern recognition society. It has gained huge successes in a broad area of applications such as speech recognition, computer vision, and natural language processing. With the sheer size of data available today, big data brings big opportunities and transformative potential for various sectors; on the other hand, it also presents unprecedented challenges to harnessing data and information. As the data keeps getting bigger, deep learning is coming to play a key role in providing big data predictive analytics solutions. In this paper, we provide a brief overview of deep learning, and highlight current research efforts and the challenges to big data, as well as the future trends.

# Big Data Technologies and Applications # Decision Sciences # Stochastic Gradient Optimization Techniques # Computer Science # Advanced Neural Network Applications

Xue-Wen Chen, Xiaotong Lin (2014). "Big Data Deep Learning: Challenges and Perspectives". IEEE Access. https://doi.org/10.1109/access.2014.2325029