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We consider here the impact of the initial weight distribution on the network behavior. The convention in the neural field is to choose initial weights with uniform distribution between plus and minus α, usually α set to 0.5 or less. In this paper we explore the effect that a negative initial weight distribution has on the learning time and learning quality of recurrent neural networks. First,...
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