Rahul Vigneswaran
Rahul Vigneswaran
> cp scripts/* . (in deblur-gan, i.e., root file), to copy the files from scripts/ to the root directory. That fixes. > Well, the training process is extremely slow with...
@paintception @ffeng1996 Sorry for the delayed response. The following are the winning tickets of Lenet5 over mnist, fashionmnist, cifar10 and cifar100.     Thanks for pointing it out!...
@ZhangXiao96 Thanks for the direction. Sorry that I am not able to reply promptly. I am busy with a few submissions. I will get back within a few days with...
Hi, @Divya2895 and @TrinhDinhPhuc, Sorry for the delayed reply. Hope this helps. For DNN-1000 iterations- [[Link](https://github.com/rahulvigneswaran/Intrusion-Detection-Systems/tree/master/dnn1000/kdd/binary)] For DNN-100 iterations - [[Link](https://github.com/rahulvigneswaran/Intrusion-Detection-Systems/tree/master/dnn/kdd/binary)] For Classical Machine Learning - [[Test Data](https://github.com/rahulvigneswaran/Intrusion-Detection-Systems/blob/master/kddtest.csv)] [[Train Data](https://github.com/rahulvigneswaran/Intrusion-Detection-Systems/blob/master/kddtrain.csv)]...
@mdda Thank you so much for the explanation. This solves most of my doubts. In the paper, they have mentioned 3 ways of generating the random matrix (`W_expansion`) : -...
Hey @pranavdheram Tried it, works fine for me. Retry now. If the problem still persists, try with sudo.
Also, the number of epochs is given as 200 in the paper while you have used 320 in the implementation. Can you confirm which is the correct one to replicate...
Looks like there is a significant difference in performance between the two. Resnet34. Benchmarked with the code provided. @ShadeAlsha @chenbinghui1
This is probably because the code keeps track of the outputs from the model. Try changing the code to skip this.