A STUDY & REVIEW ON TECHNIQUES, APPLICATIONS AND CHALLENGES USED IN DEEP LEARNING

Abstract

This paper study and survey the use of deep learning techniques, applications and challenges that we are facing in today’s era. The technologies are upgrading very rapidly in the field of higher education. Now we are in the world of big data. In this world of big data, we have variety, velocity and volume of data to be available. To handle such a huge data in efficient manner is a complex task for IT organizations as well as researchers. Deep learning is an emerging research area in machine learning and pattern recognition field. Deep learning refers to machine learning techniques that use supervised or unsupervised strategies to automatically learn hierarchical representations in deep architectures for classification. The objective is to discover more abstract features in the higher levels of the representation, by using neural networks which easily separates the various explanatory factors in the data. In the recent years it has attracted much attention due to its state-of-the-art performance in diverse areas like object perception, speech recognition, computer vision, collaborative filtering and natural language processing.