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作为联接主义智能实现的典范,神经网络采用广泛互联的结构与有效的学习机制来模拟人脑信息处理的过程,是人工智能发展中的重要方法,也是当前类脑智能研究中的有效工具。目前,模拟人脑复杂的层次化认知特点的深度学习已经成为类脑智能中的一个热点研究方向,无论是在学术界还是工业界都引起了极大的研究兴趣和投入,并且颠覆和革新了许多传统
As an example of intelligent connectionism, neural network uses a widely interconnected structure and an effective learning mechanism to simulate the process of human brain information processing. It is an important method in the development of artificial intelligence and an effective tool in current brain intelligence research. At present, the deep learning that mimicked the complex hierarchical cognitive features of the human brain has become a hot research topic in brain-like intelligence. It has aroused great interest and investment in both academic and industrial fields and subverts and reforms Many traditions