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视频地址神经网络-搭建小实战和Sequential的使用_哔哩哔哩_bilibili

from torch import nn
from torch.nn import Conv2d, MaxPool2d, Flatten, Linear, Sequentialclass Tudui(nn.Module):def __init__(self):super(Tudui, self).__init__()# self.conv1 = Conv2d(3, 32, 5, padding=2)# self.maxpool1 = MaxPool2d(2)# self.conv2 = Conv2d(32, 32, 5, padding=2)# self.maxpool2 = MaxPool2d(2)# self.conv3 = Conv2d(32, 64, 5, padding=2)# self.maxpool3 = MaxPool2d(2)# self.flatten = Flatten()# self.linear2 = Linear(64, 10)# self.linear1 = Linear(1024, 64)self.model1 = Sequential(Conv2d(3, 32, 5, padding=2),MaxPool2d(2),Conv2d(32, 32, 5, padding=2),MaxPool2d(2),Conv2d(32, 64, 5, padding=2),MaxPool2d(2),Flatten(),Linear(1024, 64),Linear(64, 10))def forward(self, x):# x = self.conv1(x)# x = self.maxpool1(x)# x = self.conv2(x)# x = self.maxpool2(x)# x = self.conv3(x)# x = self.maxpool3(x)# x = self.flatten(x)# x = self.linear1(x)# x = self.linear2(x)x = self.model1(x)return xtudui = Tudui()
print(tudui)