How to implement a regularizer machine learning model?

regularized_model = tf.keras.Sequential([
    tf.keras.layers.Dense(50, activation='relu',kernel_regularizer=regularizers.l2(0.001), input_shape=[len(X.keys())]),
    tf.keras.layers.Dense(50, activation='relu',kernel_regularizer=regularizers.l2(0.001), input_shape=[len(X.keys())]),
    tf.keras.layers.Dense(10,activation="softmax")
  ])