Hi, i´ve been doing some experimentation training NarX networks with multiple datasets from the same model. Supposedly each time the net is trained with a dataset the weighs are modified to find an optimum. However, if you train that same network with the modified weighs with other dataset, i should change them again to fit the new dataset, right?
The thing is, that after training the same network with 6 different datasets from the same model and the validating with other datasets, the net had matched the model dynamic perfectly.
My question is, is there a name for this specific way of training a neural network or was it just luck?
Thank you beforehand
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