the main potential problem of these much larger neural networks is that it could be more prone to overfitting and it turns out if you're applying neural network very often using a large neural network often it's actually the larger, the better but if it's overfitting, you can then use regularization to address overfitting, usually using a larger neural network by using regularization to address is overfitting that's often more effective than using a smaller neural network.