Considere o trecho de código em Python a seguir, que define uma rede neural usando TensorFlow e Keras.

import tensorflow as tf

from tensorflow.keras import layers, models

modelo = models.Sequential()

modelo.add(layers.Conv2D(32, (3, 3),

activation='relu', input_shape=(64, 64, 3)))

modelo.add(layers.MaxPooling2D((2, 2)))

modelo.add(layers.Conv2D(64, (3, 3),

activation='relu'))

modelo.add(layers.MaxPooling2D((2, 2)))

modelo.add(layers.Conv2D(64, (3, 3),

activation='relu'))

modelo.add(layers.Flatten())

modelo.add(layers.Dense(64, activation='relu'))

modelo.add(layers.Dense(10, activation='softmax'))

Com base no código apresentado, assinale a afirmativa incorreta.