Preparing a Baseline Model - 3.5 English

model = keras.Sequential([
    layers.InputLayer(input_shape=input_shape),
    layers.Conv2D(16, kernel_size=(3, 3), activation="relu"),
    layers.BatchNormalization(),
    layers.MaxPooling2D(pool_size=(2, 2)),
    layers.Conv2D(32, kernel_size=(3, 3), activation="relu"),
    layers.MaxPooling2D(pool_size=(2, 2)),
    layers.Flatten(),
    layers.Dropout(0.5),
    layers.Dense(num_classes),
])