Jianbo Guo

@menorashid @shzygmyx I also tried training mnist with r >1 (e.g., r=2, 3). But all of them failed. Besides, it seems the loss didn't converge. I also used different learning...

@shzygmyx Thanks for your answer. What I actually get is: [guojianbo@localhost Matrix-Capsules-pytorch]$ python train.py -batch_size=64 -lr=2e-2 -num_epochs=5 -r=1 -print_freq=5 activating cuda Epoch 0 batch:5, loss:0.3525, acc:11/64 batch:10, loss:0.3546, acc:4/64 batch:15,...

@shzygmyx Actually, I use python 2.7 for the latest version, and I correct some "division ops" to make sure the result is the same as by python3. Also, my colleague...

@shzygmyx Thanks for your reply. I think the reason lies in the procedure(E-step) for updating coefficient R. I am also trying to fix the bugs.