人工智能技术下对真理和生命的可解释性

发布时间：2018-05-01 18:06

  本文选题：可解释性 + 人工智能技术　； 参考：《探索与争鸣》2017年10期

【摘要】：正人工智能,从上世纪50年代到现在起起伏伏。我最早不喜欢神经网络的原因是在于它的不确定性,即最后输出的结果是不确定的,今天深度学习卷积神经网络的不确定性依然存在。当时从哲学意义上来讲它是一种革新,所以大家很喜欢,到2005年又开始兴起,起因是说它好像又非常好,把结果推广到一些人类的竞赛上。其实在国际机器学习学术界依然是两派,一部分还是看不起深度学习,今天宣传深度学习更多是工业背景。很多领域都开始尝试深
[Abstract]:Positive artificial intelligence, from the 1950s to the present ups and downs. The reason why I didn't like neural network was that it was uncertain, that is, the result of final output was uncertain. Today, the uncertainty of neural network of deep learning convolution still exists. It was a philosophical innovation at the time, so people liked it, and it started to rise again in 2005, because it seemed to be very good again, and spread the results to some human race. In fact, in the international machine learning academic circles are still two schools, some still look down on in-depth learning, today's propaganda depth learning is more industrial background. A lot of areas are starting to go deep.
【作者单位】： 上海交通大学电子信息学院;
【分类号】：TP18
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本文编号：1830493