Нейронные сети Модуль 4. Тема 2

Помогите исправить ошибки в коде


import tensorflow as tf
import numpy as np
import random
import matplotlib.pyplot as plt
from tensorflow import keras
%matplotlib inline
from tensorflow.keras.datasets import fashion_mnist
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout
from tensorflow. keras import utils

(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()
x_train = x_train/255
x_test= x_test/255

model = Sequential([
keras.layers. Flatten (input_shape=(28, 28)),
keras.layers. Dense (128, activation=' relu'),
keras. layers. Dense (10, activation='softmax')
])

model.compile(optimizer=tf.keras.optimizers. SGD (), loss='sparse_categorical_crossentropy', metrics=['accuracy'])
model.fit (x_train, y_train, epochs=100)
test_loss, test_acc = model.evaluate(x_test, y_test) print (f'Accuracy = {test_acc}, Loss = {test_loss}')
313/313 [=============================] 0s 1ms/step loss: 0.4300 accuracy: 0.8855
Accuracy 0.8855000138282776, Loss = 0.4299611449241638
predicts = model.predict(x_test)
313/313 [=======]- 0s 1ms/step
inp = int(input('Номер картинки: '))
print(predicts [inp])
ind_class
np.argmax(predicts [inp])
print(class_names[ind_class])
plt.figure()
plt.imshow(x_test[inp])
plt.colorbar()
plt.grid(False)