论人工智能之深度学习与人类学习的异同
The Similarities and Differences Between Deep Learning of Artificial Intelligence and Human Learning
蒋万胜 1田姿1
作者信息
- 1. 陕西师范大学 马克思主义学院,陕西西安 710119
- 折叠
摘要
深度学习使人工智能进入到深度学习新阶段,成为当前人工智能技术的核心,并产生了计算机视觉、推荐系统、语言文字处理等一系列应用技术,深刻影响和改变了人类社会面貌以及人类对自身的认知.深度学习源于人类智能,是对人类智能的再现与增强,具备层级性、算法性、工程性、数据性、结构性和深度性六大特征,实现了人工智能的新突破,在学习和模拟人类智能的同时也为人类学习提供了有益启示.虽然深度学习与人类学习的特征和内容不同,但二者有共同之处且相互借鉴,有利于推进人工智能发展.应重视研究深度学习对人类学习活动和思维模式的重要作用,以更好地理解和增强人类自身学习能力.
Abstract
Deep learning has brought artificial intelligence into a new stage of deep learning and become the core of current artificial in-telligence technology.It has produced a series of application technologies such as computer vision,recommendation system,language and word processing,which can profoundly influence and change the face of human society and human cognition of itself.Deep learning originates from human intelligence and is the reproduction and enhancement of human intelligence.It has six characteristics of hierar-chy,algorithm,engineering,data,structure and depth.It achieves a new breakthrough in artificial intelligence and provides beneficial enlightenment for human learning while learning and simulating human intelligence.Although the characteristics and contents of deep learning and human learning are different,they have something in common and mutual learning,which is conducive to promoting the de-velopment of artificial intelligence.Attention should be paid to the important role of deep learning in human learning activities and thinking patterns,in order to better understand and enhance human own learning ability.
关键词
人工智能/深度学习/人类学习/人类学习活动/概率性Key words
artificial intelligence/deep learning/human learning/human learning activities/probabilistic引用本文复制引用
基金项目
陕西省哲学社会科学研究专项(2022HZ1891)
出版年
2023
NETL
NSTL
维普
万方数据