a new layer with weights?

[izhang...@gmail.com]

Hey guys, I am trying to add a new layer, with weights, I have successfully add a new layer(basically do nothing just copy data now), but having trouble in how to add weight parameter into this new layer. any idea? thanks in advance

[Hieu Do Trung]

Take a look at network surgery, below is an example for adding weights to a convolution layer:
https://github.com/BVLC/caffe/blob/master/examples/net_surgery.ipynb

ksize = net.params['conv'][0].data.shape[2:]
# make Gaussian blur
sigma = 1.
y, x = np.mgrid[-ksize[0]//2 + 1:ksize[0]//2 + 1, -ksize[1]//2 + 1:ksize[1]//2 + 1]
g = np.exp(-((x**2 + y**2)/(2.0*sigma**2)))
gaussian = (g / g.sum()).astype(np.float32)
net.params['conv'][0].data[0] = gaussian
# make Sobel operator for edge detection
net.params['conv'][0].data[1:] = 0.
sobel = np.array((-1, -2, -1, 0, 0, 0, 1, 2, 1), dtype=np.float32).reshape((3,3))
net.params['conv'][0].data[1, 0, 1:-1, 1:-1] = sobel  # horizontal
net.params['conv'][0].data[2, 0, 1:-1, 1:-1] = sobel.T  # vertical
show_filters(net)