Comments (4)
Biases are in the BN layers that follow.
from deep-residual-networks.
Recently, I am converting this caffe model to Tensorpack model and I found that the conv1 in resnet-50 has bias term, however the resnet-101 and resnet-152 do not have bias in conv1. I don't think bias is necessary, since there are BN layers. Any reason?
from deep-residual-networks.
I have seen lots of different resnet50 versions in terms of caffe prototxt. Some of with bias all true in conv some are not. Those with bias true were always without BatchNorm.
from deep-residual-networks.
This is not fully applicable to the newer BN-ReLU-Conv-BN-ReLU-Conv architectures, though, as those don't end with a BN.
from deep-residual-networks.
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from deep-residual-networks.