import tensorflow.keras as keras

model = keras.Sequential([
    keras.layers.Dense(units=128, activation='relu', input_shape=(1,)),
    keras.layers.Dense(units=128, activation='tanh'),
    keras.layers.Dense(units=1) ])

model.compile(loss='mean_squared_error', optimizer='adam')