Pythonの人工知能の課題でエラーを解決したい

Question

発生している問題・エラーメッセージ

File "<ipython-input-8-cc8ee94b7a36>", line 29
    kernel_regularizer=regularizers.12 (
                                   ^
SyntaxError: invalid syntax

該当のソースコード

from tensorflow.keras.datasets import fashion_mnist
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Dense, Dropout, Flatten
from tensorflow.keras import optimizers, regularizers

(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()

x_train = x_train/255
x_test = x_test/255

x_train = x_train.reshape(-1, 28, 28, 1)
x_test = x_test.reshape(-1, 28, 28, 1)

num_classes = 10
y_train = to_categorical(y_train, num_classes)
y_test = to_categorical(y_test, num_classes)

model = Sequential()

weight_decay = 1e-4

model.add(
    Conv2D(
        filters=64,
        kernel_size=(3, 3),
        input_shape=(28, 28, 1),
        padding='same',
        kernel_regularizer=regularizers.12 (
            weight_decay),
        activation='relu'
        ))

model.add(
    Conv2D(
        filters=32,
        kernel_size=(3, 3),
        padding='same',
        kernel_regularizer=regularizers.12(
            weight_decay),
        activation='relu'
        ))

model.add(
    MaxPooling2D(pool_size=(2, 2))
    )

model.add(
    Conv2D(
        filters=16,
        kernel_size=(3, 3),
        padding='same',
        kernel_regularizer=regularizers.12(
            weight_decay),
        activation='relu'
        ))

model.add(
    MaxPooling2D(
        pool_size=(2, 2)))

model.add(Dropout(0.4))

model.add(Flatten())

model.add(
    Dense(
        128,
        activation='relu'))

model.add(
    Dense(
        10,
        activation='softmax'))

model.compile(
    loss='categorical_crossentropy',
    optimizer=optimizers.Adam(),
    metrics=['accuracy'])

model.summary()

batch = 32
epochs = 10

history = model.fit(x_train,
                    y_train,
                    batch_size=batch,
                    epochs=epochs,
                    verbose=1,
                    validation_data=(
                        x_test, y_test
                        )
                    )

score = model.evaluate(x_test, y_test, verbose=0)
print('Test loss:', score[0])
print('Test accuracy:', score[1])

with open('model.json', 'w') as json_file:
    json_file.write(model.to_json())
model.save_weights('weight.h5')

補足情報（FW/ツールのバージョンなど）

Pythonの教科書pityna9.4です

Answer 1

推定ですが、

        kernel_regularizer=regularizers.12 (

ではなく

        kernel_regularizer=regularizers.l2 (

でしょう。

「じゅうに」ではなく「えるに」です。

Answer 2

kernel_regularizer=regularizers.12 (

        weight_decay),

ここんところが、pythonの文法として解釈できない、といってます。
これどーにかしましょう