Authors: Ardalan Faezmehr, Shahab Fatemi, Dr. Mohammad Reza Daliri
Abstract:
Deep learning (DL) is an emerging technique in artificial intelligence (AI) in which machines can learn how to process data in a similar way to the human brain. In recent years, methods and algorithms based on DL have been of great interest and have achieved significant success in many areas of machine learning such as image processing, speech recognition, and brain pattern recognition. Because of their success in recognizing and analyzing complicated patterns, they are making their way into almost all fields. One of the areas that allocated a large volume of DL algorithms is the field of electrical and electronics engineering (EEE). Despite the fundamental challenges such as the need for a large amount of data to train deep network coefficients as well as the complexity of designing different structures for various applications, it has been widespread in this field.
