Adaptive behavior with fixed weights in RNN: an overview

D. V. Prokhorov, L.A. Feldkarnp, I. Tyukin
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引用次数: 50

Abstract

In this paper we review recent results on the adaptive behavior attained with fixed-weight recurrent neural networks (meta-learning). We argue that such behavior is a natural consequence of prior training.
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RNN中具有固定权重的自适应行为:概述
本文综述了固定权重递归神经网络(元学习)的自适应行为的最新研究成果。我们认为这种行为是事先训练的自然结果。
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