OPEN FUTURE DIRECTIONS AND CURRENT CHALLENGES FOR RESEARCH TOWARDS MOBILE AND WIRELESS NETWORKING RESEARCH BASED ON DEEP LEARNING

  • Mamidala soujanya et al.

Abstract

Deep learning is a collection of learning methods seeking to model details alongside stylish types combining different non-linear changes. The first bricks of deep knowledge are the neural networks that are mixed to develop deep blue sea semantic networks. In this particular report our company aid in between deep learning as well as mobile phone and wireless media analysis study, through providing an extensive poll of the crossovers between both regions.

Published
2019-11-15
How to Cite
et al., M. soujanya. (2019). OPEN FUTURE DIRECTIONS AND CURRENT CHALLENGES FOR RESEARCH TOWARDS MOBILE AND WIRELESS NETWORKING RESEARCH BASED ON DEEP LEARNING. International Journal of Advanced Science and Technology, 28(15), 475 - 481. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/1708
Section
Articles