pytorch 修改预训练model实例

我就废话不多说了，直接上代码吧！

 class Net(nn.Module):  def __init__(self , model):   super(Net, self).__init__()   #取掉model的后两层   self.resnet_layer = nn.Sequential(*list(model.children())[:-2])   self.transion_layer = nn.ConvTranspose2d(2048, 2048, kernel_size=14, stride=3)   self.pool_layer = nn.MaxPool2d(32)    self.Linear_layer = nn.Linear(2048, 8)     def forward(self, x):   x = self.resnet_layer(x)   x = self.transion_layer(x)   x = self.pool_layer(x)   x = x.view(x.size(0), -1)    x = self.Linear_layer(x)    return x

resnet = models.resnet50(pretrained=True)model = Net(resnet)

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