A SURVEY ON DEEP LEARNING TECHNIQUES
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.8, No. 6)Publication Date: 2017-12-25
Authors : K Juliana Gnana Selvi;
Page : 141-145
Keywords : Auto-Encoders; CNN; Deep Learning;
Abstract
Deep learning is a rising exploration zone in AI and example acknowledgment field. Deep learning alludes to AI methods that utilization managed or solo systems to consequently learn various leveled portrayals in deep designs for order. The goal is to find increasingly digest highlights in the more significant levels of the portrayal, by utilizing neural systems which effectively isolates the dif erent illustrative elements in the information. In the ongoing years it has pulled in much consideration because of its best in class execution in dif erent regions like article observation, discourse acknowledgment, PC vision, community separating and common language handling. As the information continues getting greater, deep learning is coming to assume a key job in giving large information prescient investigation arrangements. This paper presents a concise diagram of deep learning, methods, momentum research endeavors and the dif iculties engaged with it.
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