import tensorflow as tf import numpy as np
create model
model = tf.keras.Sequential() model.add(tf.keras.layers.Dense(128, activation='relu')) model.add(tf.keras.layers.Dense(64, activation='relu')) model.add(tf.keras.layers.Dense(1))
compile model
model.compile(optimizer='adam', loss='mean_squared_