参考：https://blog.csdn.net/michael_f2008/article/details/103715699

https://developer.aliyun.com/article/614411

import pandas as pd
import numpy as np
import datetime
from sklearn.utils import shuffle# 1.初始化参数
def initialize_parameters(n_x, n_h, n_y):np.random.seed(2)# 权重和偏置矩阵w1 = np.random.randn(n_h, n_x) * 0.01b1 = np.zeros(shape=(n_h, 1))w2 = np.random.randn(n_y, n_h) * 0.01b2 = np.zeros(shape=(n_y, 1))# 通过字典存储参数parameters = {'w1': w1, 'b1': b1, 'w2': w2, 'b2': b2}return parameters# 2.前向传播
def forward_propagation(X, parameters):w1 = parameters['w1']b1 = parameters['b1']w2 = parameters['w2']b2 = parameters['b2']#