This graph shows the training and validation loss against the epochs for a neural network. The network being trained is as follows: ✑ Two dense layers, one output neuron ✑ 100 neurons in each layer ✑ 100 epochs Random initialization of weights Which technique can be used to improve model performance in terms of accuracy in the validation set?