Adaptive behavior with fixed weights in RNN: an overview
Danil V. Prokhorov, L.A. Feldkarnp, Ivan Tyukin · 2003
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.