摘要：``` ''' 数据集：伪造数据集（两个高斯分布混合） 数据集长度：1000 运行结果： the Parameters set is: alpha0:0.3, mu0:0.7, sigmod0: 2.0, alpha1:0.5, mu1:0.5, sigmod1:1.0 the Parameters 阅读全文

摘要：Python程序 ''' 数据集：Mnist 训练集数量：60000(实际使用：10000) 测试集数量：10000（实际使用：1000) 层数：40 运行结果： 正确率：97% 运行时长：65m ''' import time import numpy as np def loadData(fil 阅读全文

摘要：``` import numpy as np import matplotlib.pyplot as plt from sklearn.datasets.samples_generator import make_classification def initialize_params(dims): w = np.zeros((dims, 1)) b = 0 retur... 阅读全文

摘要：``` import numpy as np from sklearn.datasets import load_diabetes from sklearn.utils import shuffle import matplotlib.pyplot as plt def initialize_params(dims): w = np.zeros((dims, 1)) b = 0... 阅读全文

摘要：``` import numpy as np import sys def conv_(img, conv_filter): filter_size = conv_filter.shape[1] result = np.zeros((img.shape)) # 循环遍历图像以应用卷积运算 for r in np.uint16(np.arange(filter_s... 阅读全文