Abstract

Imitating the efficiency and robustness of human brain has always been a core challenge in the research of artificial intelligence. Deep Learning, a new area of Machine Learning, has been coined with the aim of moving Machine Learning closer to Artificial Intelligence. Machine learning a branch of science that deals with programming the systems in such a way that they automatically learn and improve with experience. Deep learning comprehends the inner structure of observed data and Cross-linking new and known concepts to make nonobvious inferences. This paper emphasis on better understanding of Deep Learning Concepts and Architecture models. This paper also gives an idea of applications contributing to research in the area of deep learning.