in labs/04_workflow_sm_pipelines/code/model_def.py [0:0]
def get_model():
inputs = tf.keras.Input(shape=(13,))
hidden_1 = tf.keras.layers.Dense(13, activation='tanh')(inputs)
hidden_2 = tf.keras.layers.Dense(6, activation='sigmoid')(hidden_1)
outputs = tf.keras.layers.Dense(1)(hidden_2)
return tf.keras.Model(inputs=inputs, outputs=outputs)