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View Code? Open in Web Editor NEWMLPNAS code for Paperspace series on Neural Architecture Search
MLPNAS code for Paperspace series on Neural Architecture Search
Hi. I use your code but I dont know how to add my dataset with k-fold cross validation. could you help me to solve that? thanks
for (https://github.com/kurosh90/MLPNAS_Pytorch/tree/master/Pytorch)
Hi. I really appreciate for your code. I've tried a couple times to run the code .There is a 'LOG' file in mplnas.py and utils.py implementation (in utils.py line 32 to 53 logging part and in mlpnas.py line 30).unfortunately I couldn't find the source or directory of this file. what can I do to run completely the code?
Best Regards. Thanks
Hi . I used your code but I couldn't find top architecture weights? Do the data are available in nasdata.pkl file? or in controlerweights.pth? I couldn't find architecture weights neither nasdata.pkl nor controllerweights.pth. what can i do? thanks
I have a question about the loss function for the controller.
If the state is considered to be the state of the controller, each sample generated (action) doesn't really change the state of the controller inside one controller epoch (outermost loop in the main search function). Thus, how can it be considered to calculate discounted reward?
I am kind of new to reinforce. Correct me if I am wrong. Thank you
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