from keras.datasets import mnist
import numpy as np
from keras import models
from keras import layers
from keras.models import load_model
import matplotlib.pyplot as plt
from keras import optimizers
# 1.4.1.1
(x_train, y_train), (x_test, y_test) = mnist.load_data() # 下载数据集
print('shape of x_train:' + str(x_train.shape))
print('shape of x_test:' + str(x_test.shape))
print('shape of y_train:' + str(y_train.shape))
print('shape of y_test:' + str(y_test.shape))
# 1.4.1.2
x_train_vec_total = x_trai
