我就廢話不多說了，直接上程式碼吧！

 class Net(nn.Module):
  def __init__(self,model):
   super(Net,self).__init__()
   #取掉model的後兩層
   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)

以上這篇pytorch 修改預訓練model例項就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支援我們。