深度学习
人工智能
人工神经网络
前馈
计算机科学
人工神经网络的类型
循环神经网络
机器学习
神经系统网络模型
前馈神经网络
生物
反向传播
工程类
控制工程
作者
Nikolaus Kriegeskorte,Tal Golan
出处
期刊:Current Biology
[Elsevier]
日期:2019-04-01
卷期号:29 (7): R231-R236
被引量:267
标识
DOI:10.1016/j.cub.2019.02.034
摘要
Originally inspired by neurobiology, deep neural network models have become a powerful tool of machine learning and artificial intelligence, where they are used to approximate functions and dynamics by learning from examples. Here we give a brief introduction to neural network models and deep learning for biologists. We introduce feedforward and recurrent networks and explain the expressive power of this modeling framework and the backpropagation algorithm for setting the parameters. Finally, we consider how deep neural networks might help us understand the brain's computations.
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