BriefGPT.xyz
Oct, 2016
学会学习神经网络
Learning to Learn Neural Networks
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Tom Bosc
TL;DR
利用LSTM神经网络实现元学习,并能将其与手工设计的算法进行对比,在实验中,我们学习了针对非线性可分数据集的一个具有两个隐藏层的MLP的学习算法,并且该算法能够成功地更新两个隐藏层的参数并且在类似的数据集上具有泛化性能。
Abstract
meta-learning
consists in learning learning algorithms. We use a
long short term memory
(LSTM) based network to learn to compute on-line updates of the parameters of another
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