inputs = tf.keras.Input(shape=(4,), name="features")
hidden = tf.keras.layers.Dense(8, activation="relu")(inputs)
scores = tf.keras.layers.Dense(1, activation="sigmoid")(hidden)
model = tf.keras.Model(inputs=inputs, outputs=scores, name="number_classifier")
model.compile(optimizer="adam", loss="binary_crossentropy")
model.fit(features, labels, epochs=12, verbose=0)