$1.$ Implement L$2$ regularization in a deep learning model using the Iris dataset. You are provided with the Iris dataset $($from sklearn.datasets import load$\_$iris$),$ which contains features of iris flowers and their corresponding species labels. Your task is to create a neural network model with L$2$ regularization to classify iris flowers into three species: setosa, versicolor, and virginica. Your task is to:

a$.$ Load and preprocess the Iris dataset. $(3$ pts$)$

b$.$ Create a neural network model with at least two hidden layers. $(5$ pts$)$

c$.$ Implement L$2$ regularization on the model. $(3$ pts$)$

d$.$ Train the model and evaluate its performance on the test data. $(3$ pts$)$

e$.$ Provide the model's accuracy and explain how L$2$ regularization affects the model's performance. $(6$ pts$)$