Читать книгу Computational Statistics in Data Science - Группа авторов - Страница 87

We discussed the architectures of four types of neural networks and their extensions in this chapter. There have been many other neural networks proposed in the past years, but the ones discussed in this chapter are the classical ones that served as foundations for many other works. Though DNNs have achieved breakthroughs in many fields, the performances in many fields are far from perfect. Developing new architectures that can improve the performances on various tasks or solve new problems is an important research direction. Analyzing the properties and problems of existing architectures is also of great interest to the community.