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Hi,
I was studying papers on compressing deep neural networks ( mainly Deep Compression and SqueezeNet). These require pruning certain weights/connections between neurons in different layers if the weights are very weak compared to a threshold. After removing those connections, the remaining weights need to be retrained. I am wondering if it is possible to construct a sparse network and train in Caffe. Is there any way to input the network connection file similar to weight initialization file?