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Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"

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I tried to run this code in my data. But I am having trouble when run my data: `/home/ai/torch/install/bin/luajit: train.lua:382: cuda runtime error (59) : device-side assert triggered at /tmp/luarocks_cutorch-scm-1-3009/cutorch/lib/THC/generic/THCTensorCopy.c:18...

There is still probelm when I tried architecture for MNIST in models_def: `online epoch # 0 [batchSize = 100] [learningRate = 0.01] /home/ai/torch/install/bin/luajit: /home/ai/torch/install/share/lua/5.1/nn/Container.lua:67: In 2 module of nn.Sequential: In...

How can I use your trained model to extract image(my dataset) features and then save them for further clustering? Thank you in advance for the answer

Hi, I was wondering if it is possible to cluster an arbitrary directory of images to their final cluster labels after training on a custom dataset? It would also suffice...

Is there anyway we can control the minimum number of cluster items? E.g. Would like to avoid having a cluster with 2 items. Thank you Bruno

Hi, I tried to install your codes however I have no idea how to install lua-knn. Specifically, how to set "CUDA_TOOLKIT_ROOT_DIR=/your/cuda-toolkit/dir" ? Can you please provide the more details about...