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树哥你好，我把网络换了resnet50，发现还真的只有RMSprop的结果能正常一点点，Adam和SGD好像没法正常更新。Any insight on this？仅是讨论哈哈，不是Issue。

请问下NUSWIDE数据集下，这两行的写法是不是有误？正确的写法应该是：

query_index = perm_index[:num_query]
train_index = perm_index[num_query:num_query+num_train]

Hi! I'd like to try the models as is on a dataset, do you have the pretrained Pytorch models available? I'd love to try it without having to train my own on ImageNet. Thanks!

打扰一下，新手对于数据集的使用还不大懂~ 请问nuswide数据集下载了之后是里面5个4g的文件都要用到吗？还是只用到了那个1.86G的zip，解压用这个就好呢？您分享的nus-wide-21是论文里常用的，只包含21类的nus-wide的子数据集吗？

Environment: pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=9.0
Problem:
I added two lines:
model = nn.DataParalle(model)
model.to(device) after model = AlexNet(code_length) in alexnet.py, but I found it can not speed up the training, can you help me?

I wana know which paper you implemented