use the pycaffe interface,
just open the model:
import caffe
net = caffe.Net(deploy.prototxt, model.caffemodel, caffe.TEST)
then you can look inside the model like this way:
net.params.items()[layer's number][0 = name of the layer / 1 = layer's learnable data][0 = usually weights and 1 = usually bias]
please notice that you can only see the layer's that can learn (no activation, pooling or dropout).
Clément