First Order Recurrent Neural Networks Learn To Predict A Mildly Context-Sensitive Language
نویسندگان
چکیده
منابع مشابه
Incremental training of first order recurrent neural networks to predict a context-sensitive language
In recent years it has been shown that first order recurrent neural networks trained by gradient-descent can learn not only regular but also simple context-free and context-sensitive languages. However, the success rate was generally low and severe instability issues were encountered. The present study examines the hypothesis that a combination of evolutionary hill climbing with incremental lea...
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