def simple_sequential_model():
    model = keras.models.Sequential()
    model.add(keras.layers.Dense(16, activation='relu', input_shape=_INPUT_SIZE))
    model.add(keras.layers.Dropout(0.1))
    model.add(keras.layers.Dense(_NUM_CLASS, activation='softmax'))
    return model
def simple_sequential_model():
    model = keras.models.Sequential()
    model.add(keras.layers.Dense(16, activation='relu', input_shape=_INPUT_SIZE))
    model.add(keras.layers.Dropout(0.1))
    model.add(keras.layers.Dense(_NUM_CLASS, activation='softmax'))
    return model