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请问如果我想把网络换成Resnet152, class ResNet(nn.Module): def init(self,c_in): super(ResNet,self).init() self.block0 = nn.Sequential(nn.Conv2d(c_in, 32, 3, 1, 1),nn.BatchNorm2d(32, momentum=0.01)) self.block1 = self._make_layer(32, 32, 2, 3) self.block2 = self._make_layer(32, 64, 2, 8) self.block3 = self._make_layer(64, 128, (2,1),8) self.block4 = self._make_layer(128, 256, (2,1),36) self.block5 = self._make_layer(256, 512, (2,1), 3) 然后进行模型训练 loss不断减小 但是acc一直为0 是为什么呀?十分谢谢。
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请问有更多细节吗,否则我不好回复~
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请问如果我想把网络换成Resnet152,
class ResNet(nn.Module):
def init(self,c_in):
super(ResNet,self).init()
self.block0 = nn.Sequential(nn.Conv2d(c_in, 32, 3, 1, 1),nn.BatchNorm2d(32, momentum=0.01))
self.block1 = self._make_layer(32, 32, 2, 3)
self.block2 = self._make_layer(32, 64, 2, 8)
self.block3 = self._make_layer(64, 128, (2,1),8)
self.block4 = self._make_layer(128, 256, (2,1),36)
self.block5 = self._make_layer(256, 512, (2,1), 3)
然后进行模型训练 loss不断减小 但是acc一直为0 是为什么呀?十分谢谢。
The text was updated successfully, but these errors were encountered: