import tensorflow as tf


def get_model():

    inputs = tf.keras.Input(shape=(8,))
    hidden_1 = tf.keras.layers.Dense(8, activation='tanh')(inputs)
    hidden_2 = tf.keras.layers.Dense(4, activation='sigmoid')(hidden_1)
    outputs = tf.keras.layers.Dense(1)(hidden_2)
    return tf.keras.Model(inputs=inputs, outputs=outputs)