about the "imagenet_finetune_overfeat_train.prototxt"

[effielikesmilk]

I found that it writes "layers" in the "imagenet_finetune_overfeat_train.prototxt" while in other caffe net prototxt file it writes "layer". I don't know what's the difference about "layer" and "layers". For example,

in the caffe official documents, it shows:
layer { name: "relu1" type: "ReLU" bottom: "ip1" top: "ip1" }
but in the imagenet_finetune_overfeat_train.prototxt, it shows
layers { name: "relu3" type: RELU bottom: "conv3" top: "conv3" }
I really want to know what's the difference between them. Any thoughts would be greatly appreciated!
Thanks.

[bogger]

@effielikesmilk This is because it is a very old version of Caffe, and they use "layers" for the declaration of a layer. You can use the caffe tool upgrade_net_proto_text to upgrade it to the new version of proto.

[effielikesmilk]

Thank you so much for your reply. And I have another question about caffe depoly.prototxt...
I am trying to generate the deploy.prototxt based on my own model. In the alexnet model, the deploy.prototxt contains 'lr_mult' in the convolution layer, while in caffenet, it doesn't contain that.
So I am confused that whether the 'lr_mult' in the convolution layer is a must in the deploy.prototxt.
Thanks.