文字测试
这里是文字测试
Here is a text test.
公式测试
这里是公式测试 这里是行内公式 ,这里有 ,这里有 这里是行间公式
双 测试行间公式 equation 环境测试
表格测试
这里是表格测试
Parameters
Meaning
Logits of Net-T
Logits of Net-S
Net-T's softmax output at temperature T over class
Net-S's softmax output at temperature T over class
Quantity of labels
The ground truth value on class , , positive labels are taken as 1 and negative labels as
0.
图片测试
测试图片
代码测试
这里是代码测试
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 import torch import torch.nn as nnprint ("hello world" )class CNN (nn.Module): def __init__ (self ): super (CNN, self).__init__() self.conv1 = nn.Conv2d(1 , 6 , 5 ) self.pool = nn.MaxPool2d(2 , 2 ) self.conv2 = nn.Conv2d(6 , 16 , 5 ) self.fc1 = nn.Linear(16 * 5 * 5 , 120 ) self.fc2 = nn.Linear(120 , 84 ) self.fc3 = nn.Linear(84 , 10 ) def forward (self, x ): x = self.pool(F.relu(self.conv1(x))) x = self.pool(F.relu(self.conv2(x))) x = x.view(-1 , 16 * 5 * 5 ) x = F.relu(self.fc1(x)) x = F.relu(self.fc2(x)) x = self.fc3(x) return x