A Presentation of Structures and Applications of Convolutional Neural Networks

Abstract

This paper reviewed the history of convolutional neural networks, why and how they developed, and what inspired the scientists to design them. To make CNNs simpler to understand, we wrote about their characteristics and structures while introducing the basic units of convolutional neural networks, including training and modeling parameters and how they would affect the confidence and efficiency of the whole process, different kinds of layers and how they work, multiple pooling methods and loss functions with their formulas. This paper also included applications of convolutional neural networks in computer vision and natural language processing while specifying and analyzing the technologies in use to clarify this introduction. Challenges and future research directions of the convolutional neural networks were pointed out to help refine this technique.