pytorch 修改預訓練model
阿新 • • 發佈:2019-02-02
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)
參考: https://blog.csdn.net/whut_ldz/article/details/78874977