Thank you! It's always best when you dig a little bit and find solution for yourself. That's the best way to learn.
Thanks for the Pack200 fix. Can you provide more info how the new project fails? Thanks
It seems like there is a bug in training workflow. Will put it on todo to fix for next release. Running training with only basic options should work
Colors correspond to neuron activation Red == 1 Greay == 0 Blue == -1 You can turn on display preferences to show values, and you can incpect indicvidual neurons in properties
Thats the right way, only when you drag test set dont clcik train, but test button in toolbar And if you click only test it wont destroy your allready trained network just make sure you've saved it before
Hi thanks for the note. It seems that here is some kind of misconfiguration on source forge host so many links ar ebroken, investigating... We're thinking of moving all tutorials to git hub so they could be updated by the community. In the meantime check out the code samples there is also wine example in Java code https://github.com/neuroph/neuroph/blob/master/neuroph-2.9/Samples/src/main/java/org/neuroph/samples/uci/WineClassificationSample.java Cheers
What is the output? Win / lose? Dont normalize as continious value since it doesent ake sense for this domain. Use one input neuron for each card, and binary input vector. Let us know if you get some interesting results
Did you entered the data or imported from csv file? You shoul dbe able to use th edat aset right away...
You cannot open it in netbeans, but you can open it in Neuroph Studio
Thanks for the note Ken. We made some changes in 2.94 in order to make it easier to follow mathematical models of more backprop variations, but it seems that resilient is now broken. It will be fixed with next release.
Thanks! Good catch! :)
Hi Dave This is a usuall behaviour for overfitting. This image explains it https://onlinecourses.science.psu.edu/stat857/sites/onlinecourses.science.psu.edu.stat857/files/lesson04/model_complexity.png
Hi Dave, Thanks for the note. Interesting idea, do you have any reference for this? I think that the current approach is mathematicaly correct
Good info! If you could write a blog post or article about it that would be great. How did you trained Neuroph in multiple threads (there were several experiments with that, which approach did you used?). I have some new idea that could really make even bigger difference.
Thanks for the update, we'll make it more clear.
No support for cuda, opencl at the moment. There is a limited support for convolutional networks.
We tried something with arrays beffore, but it was not big difference in speed. If you have idea how to do it go ahead fork it from https://github.com/neuroph/neuroph Multithreading should be improved, something has been done in https://github.com/neuroph/neuroph/tree/multithreaded but I think it needs fixing You can measure performance using JMH
If you have target outputs use supervised, otherwise use unsupervised Use backprop with momentum Yes there is option, right click data set then 'create training and test subset'
Hi John, sorry I missed this. The error reporting for import should be improved, I know about that and you're welcome to help. Let me know if you need help with anything else. The support forum will be moved to github, there are requests at both places at the moment. Zoran
Use the -Xmx switch to give it more memory, and use profiler to figure out why it gets stuck
We'll fix that, thanks for the note. Not sure whats the problem at the moment
Yes, you have to re-train it, how expensive is this-it depends of the size of the...
Its SGD, and it supports full batch. Its polished a bit on the current development...
Did you got any error messages?
Unfortunately not.
Beta is out now https://sourceforge.net/projects/neuroph/files/neuroph-2.93b/
Bug fix comming. In perceptron, first layer should be newley added InputLayer not...
But it looks like Perceptron does have the problem, it will be fixed in next release...
For NoClassDefFound see https://sourceforge.net/p/neuroph/discussion/862858/thread/c0989868/...
Well there are bugs for sure, and if you'd like you can help in fixing it, thats...
Hi, thank you for your interest in neuroph. In short, Neuroph has grown and we would...
Sounds good. Let me know what you need. There is an implementation of Convolutional...
Yes, there is implementation of Convolutional network
I suggest that you try to use it from Java code and see if this happens again, and...
Great, thanks! :) 2) Should I train the data on as many variations of cards as possible?...
Strange. We'll look into that. If you figure out fix before us please let us kno...
Its fixed in the latest release. The problem is with the recognizing the platfor...
Ok thanks. I let you know once I upload the new version. However it is working for...
Yes, import statement for dataset is missing import org.neuroph.core.data.*; And...
Actually that is very interesting problem :) I would try to represent graph in matrix...
Have you saved the trained network?
There is support for convolutional network in new neurl network wizard, but it can...
It need more memory. Edit etc/neurophstudio.conf and set Xmx Search forum for more...
Just drag n drop data set to coresponding field and it will be enabled
For which module it complans about?
Thanks for reporting this, it seems like some slf4j bug, that NOPLogger doesnt support...
No problem at all. Good luck with your work!
Great contribution, thank you very much! We should investigate if its possible to...
Increase the heap startup max memory size in neurophstudio/etc/neurophstudio.conf...
Dnd training set to coreonding field and it will be enabled
ok thanks. It should work now, there is: http://neuroph.sourceforge.net/maven2/org/neuroph/neuroph-core/2.7...
Its fixed now, let me know if it works as expected
You're right, I'll change that. Thanks!
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