Fig. 3.
Loss (mean squared error + L2 regularisation term) as a function of epoch. The NNs training on the pulsation models (bottom panel) reached an optimal solution within the maximum number of epochs. In all cases a similar loss is obtained for the training and validation sets, indicating the NNs were able to generalise the synaptic weights.
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