Introduction to Deep Learning and its related case studies

This paper initially introduces deep learning. The next step in machine learning is deep learning. This paper make deep insightsinto the review of the literature related to deep learning. The papers used various deep learning approaches such as an Autoencoder (AE), convolutional neural network (CNN), deep belief network (DBN), recurrent neural network (RNN). Offshore wind farms are the subject of one case study of automatic bird identification. This case study uses convolutional neural network (CNN) for extracting features. On the other hand, another case study is of low-power hardware implementation of microscopy diagnostic support system. This case study used CNN and support vector machine methods.