L1 and L2.py

import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Reshape
from tensorflow.keras.layers import Dropout

def create_model():
  # create model
  model = Sequential()
  model.add(Dense(60, input_shape=(60,), activation='relu',  kernel_regularizer=keras.regularizers.l1(0.01)))
  model.add(Dropout(0.2))
  model.add(Dense(30, activation='relu',  kernel_regularizer=keras.regularizers.l2(0.001)))
  model.add(Dropout(0.2))
  model.add(Dense(1, activation='sigmoid'))
  return model


adam = tf.keras.optimizers.Adam()
model.compile(loss='binary_crossentropy', optimizer=adam, metrics=['accuracy'])

model = create_model()
model.summary()