Finer control for Freezing layers in resnet

[chenyuntc (Yun Chen)]

you may refer to

How to perform finetuning in Pytorch?

This should do it: ignored_params = list(map(id, model.fc.parameters())) base_params = filter(lambda p: id(p) not in ignored_params, model.parameters()) optimizer = torch.optim.SGD([ {'params': base_params}, {'params': model.fc.parameters(), 'lr': opt.lr} ], lr=opt.lr*0.1, momentum=0.9)

By the way, try format your code with markdown sytanx：

```
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