Optimizing Initial Configurations of Neural Networks for the Task of Natural Language Learning

Jaime J. Dávila

One approach used to develop computer systems for natural language processing (NLP) is that of Artificial Neural Networks (NNs). Because of the large number of parameters a NN has (e.g. network topology, learning algorithm, transfer functions) and the way they interact, finding optimal parameter values for any particular task can be extremely difficult.

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