A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%.
From the graph, what modification would be appropriate to improve the performance of the model?
A. increase the depth of the neural network
B. insert a dropout layer in the neural network architecture
C. increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset
D. restart the training with a higher learning rate
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