@FabianIsensee Hi, sir. I notice that in the design of network architecture the convolution and the nonlinear are seperate like this: l = NonlinearityLayer(l_in, nonlin), Conv3DLayer(l, feat_out, filter_size, stride, 'same', nonlinearity=linear, W=HeNormal(gain='relu')). In the Conv3DLayer the nonlinearity is set linear. What is the reason? Thank you!
@FabianIsensee Hi, sir. I notice that in the design of network architecture the convolution and the nonlinear are seperate like this: l = NonlinearityLayer(l_in, nonlin), Conv3DLayer(l, feat_out, filter_size, stride, 'same', nonlinearity=linear, W=HeNormal(gain='relu')). In the Conv3DLayer the nonlinearity is set linear. What is the reason? Thank you!