早起的虫儿@04637

"""一维线性回归代码实现"""import torchfrom torch.autograd import Variableimport matplotlib.pyplot as pltimport torch.nn as nnimport torch.optim as optimimport numpy as npclass LinearRegression(nn.Modu...

"""多项式回归代码实现"""import torchfrom torch.autograd import Variableimport torch.nn as nnimport torch.optim as optimimport matplotlib.pyplot as pltimport numpy as npdef make_features(x): """Bu...

"""Logistic 回归的代码实现"""import matplotlib.pyplot as pltimport torchimport torch.nn as nnfrom torch.autograd import Variableimport numpy as npclass LogisticRegression(nn.Mo

net.pyimport torch.nn as nnclass SimpleNet(nn.Module): def __init__(self, in_dim, n_hidden_1, n_hidden_2, out_dim): super(SimpleNet, self).__init__() self.layer1 = nn.Sequentia...

cnn.pyimport torch.nn as nnclass CNN(nn.Module): def __init__(self): super(CNN, self).__init__() self.layer1 = nn.Sequential( nn.Conv2d(1, 16, kernel_size=3), ...