Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
L2 regularizer can become really small, but they never actually go to zero. Increasing the value of lambda increases the size of the diamond, reducing the actual MSE loss. This means that the weights start to fit the data points better and better which can lead to overfitting. Similar to the L2