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Current Advances in Neural Networks
Annual Review of Statistics and Its Application ( IF 7.4 ) Pub Date : 2022-03-07 , DOI: 10.1146/annurev-statistics-040220-112019 Víctor Gallego 1 , David Ríos Insua 1, 2
中文翻译：
神经网络的当前进展
更新日期：2022-03-07
Annual Review of Statistics and Its Application ( IF 7.4 ) Pub Date : 2022-03-07 , DOI: 10.1146/annurev-statistics-040220-112019 Víctor Gallego 1 , David Ríos Insua 1, 2
Affiliation
This article reviews current advances and developments in neural networks. This requires recalling some of the earlier work in the field. We emphasize Bayesian approaches and their benefits compared to more standard maximum likelihood treatments. Several representative experiments using varied modern neural architectures are presented.
中文翻译：
神经网络的当前进展
本文回顾了神经网络的当前进展和发展。这需要回顾该领域的一些早期工作。与更标准的最大似然处理相比，我们强调贝叶斯方法及其优势。介绍了使用各种现代神经架构的几个代表性实验。
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