Deep Learning Researches in Turkey: An Academic Approach

Abstract

Deep learning (DL) is deployed in Deep Neural Networks (DNNs), Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Deep Stacked Networks (DSNs), Deep Belief Networks (DBNs), and Deep Boltzmann Machines (DBMs). DL continues to take powerful steps to become a part of almost any software in the future. DL is one of the most popular research areas of machine learning. What makes it so popular is the exciting applications of recent times. Nowadays, improvement in machine learning provide ability to determine what an object in a picture does. The aim of this study is to reveal academic studies in the field of Deep Learning in Turkey and to evaluate their numerical results. Dataset search for studies in the field of DL were done in both the YÖKSIS database in Turkey and the internationally operated Web of Science and Scopus services. Finally, some evaluations were made to emphasize the importance of DL for the country. © 2017 IEEE.