zhunipingan
zhunipingan
学姐好 请问您知道这里的output分别是对应于哪些模型的结果吗，您采用的对比方式是把这些输出通过自己的评价方式test得出评价结果吗. 期待指点与回复！谢谢~ 
请问你看懂为什么主题模型可以解决数据稀疏了吗，我没有看明白文章
Thanks! I solved this problem successfully using your solution. Looking forward to your new work~
> > > > 这样改就好了 > > > > transform = transforms.Compose([ > > > > transforms.ToTensor(), transforms.Normalize([0.5], [0.5])]) > > > > > > > > > 改成这样之后，又报错了 >...
Thanks for your reply! I noticed the code in train.sh, I think if I use my gpu3, I needn't to do any modification. But I still have the error, if...
Thanks. `Building f_init... Done Building f_next.. Done Building f_log_probs... Done Building f_cost... Done Computing gradient... Done Building optimizers... Done Optimization Epoch 0 Update 100 style 1 Cost 71.04966 0.34096366 -0.34654176...
maybe the batch size is too large, I just modify the batch size to 16, and it can be run now. I have another question, if I want to run...
hi, I met the problem that after I ran the ./test.sh, I found the q_test_style_0.txt was empty and the q_test_style_0.txt was all dots such as '. . . . ....
hhh, thank you! I use your origin dataset, just as you wrote. $ cd model/style_transfer/session_multi_decoder $ ./train.sh # train model $ ./test.sh # test model $ ./com.sh # show results...
hi, Have you found the solution.