tumble-weed

faced same problem, changing the architecture to resnet152 worked: `python main.py --cuda --img='01.jpg' --model-type resnet152` so might have something to do with the inception architecture.

Hi, have you made the code snippet converting caffe to pytorch available somewhere? thanks

Hi, sorry for the late reply. I understood my error and rectified it. However, I had a query, is the sparsity updater implemented same as in Sparse deep belief net...

Hi, I modified the Sparsity updater you had in your code. I would be much reassured of my implementation if you could give your opinion on whether it is correct...

Hi, sorry to bother you but I had a query about gaussian and learnt gaussian units. I was reading Prof. Hinton's guide to training RBMshttp://www.cs.toronto.edu/~hinton/absps/guideTR.pdf I was the impression that...

Hi, Thanks for your prompt reply, saved me a lot of time! Also I have been trying the convolutional example on MNIST. While it seems to work well when the...

Thank you for your helpful reply. Much appreciated, it has given me some food for thought. Regarding Prof Lee's implementation, I ended up making a theano based Convolutional RBM, which...

layers.get_all_layers_old is deprecated and will be removed before release of lasagne. should modify input layer to be get_all_layers()[0] instead

ok thanks. On Mon, Nov 9, 2020 at 12:16 PM Tivadar Danka wrote: > Hi! > > I have absolutely zero knowledge regarding this question :) I don't want >...

i think i am having the same issue. i am seeing negative colors. I am running according to the instructions for simpler inference, using transformer_imagenet.