Hi all, Thank you very much for the feedback
One small thing, is there a some sort of accuracy measurement that we can show for deep networks? Yes, there is. Usually the accuracy of the deep network is shown with a validation dataset and a test set (i.e. validation error and test error). In other words, after training the network, we run an independent test set and see how accurate the algorithm is (# of correct results/ # of total results) It seems the test accuracy would fit for the model comparison On Fri, Jun 19, 2015 at 1:01 PM, Nirmal Fernando <[email protected]> wrote: > Hi Thushan, > > Looks good for me too. One small thing, is there a some sort of accuracy > measurement that we can show for deep networks? This is required for the > model comparison page; > https://docs.wso2.com/display/ML100/Model+Comparison > > On Fri, Jun 19, 2015 at 7:27 AM, Thushan Ganegedara <[email protected]> > wrote: > >> Hi, >> >> as he configure, can we visualize the deep network ( use some d3 graph >> library). >> I don't think I understood. Are you asking if we could show the user a >> diagram of the network he has specified (like the attached image)? >> > >> Also, after he has trained, can we let him visualize the output of >> intermediate layers ( this is a advanced feature, so optional). >> Intermediate levels are quite tricky to visualize. Two major issues with >> visualizing intermediate layers are, >> 1. Intermediate layers are not linear transformations of the input so the >> visualized filters of intermediate layers doesn't make much sense (I tried >> it, what I saw was completely random pixels) >> >> 2. It is possible to overcome the above issue with a technique called >> activation maximization (we are solving the optimization problem z = >> sigmoid(x.W) by keeping W constant and changing x to get the maximum z). >> However, this is highly non-convex. So it easily get stuck in local maxima. >> Also, this is to costly for large dimensional data (it will work for MNIST >> though). >> >> Thank you >> >> On Fri, Jun 19, 2015 at 11:50 AM, Srinath Perera <[email protected]> >> wrote: >> >>> Hi Tushan, >>> >>> OK high level. However, as he configure, can we visualize the deep >>> network ( use some d3 graph library). >>> >>> Also, after he has trained, can we let him visualize the output of >>> intermediate layers ( this is a advanced feature, so optional). >>> >>> --Srinath >>> >>> On Fri, Jun 19, 2015 at 6:56 AM, Thushan Ganegedara <[email protected]> >>> wrote: >>> >>>> Dear all, >>>> >>>> Please find the proposed UI changes for the Deep Network Integration >>>> attached herewith. >>>> >>>> Feedback would be highly appreciated. >>>> >>>> -- >>>> Regards, >>>> >>>> Thushan Ganegedara >>>> School of IT >>>> University of Sydney, Australia >>>> >>> >>> >>> >>> -- >>> ============================ >>> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera >>> Site: http://people.apache.org/~hemapani/ >>> Photos: http://www.flickr.com/photos/hemapani/ >>> Phone: 0772360902 >>> >> >> >> >> -- >> Regards, >> >> Thushan Ganegedara >> School of IT >> University of Sydney, Australia >> > > > > -- > > Thanks & regards, > Nirmal > > Associate Technical Lead - Data Technologies Team, WSO2 Inc. > Mobile: +94715779733 > Blog: http://nirmalfdo.blogspot.com/ > > > -- Regards, Thushan Ganegedara School of IT University of Sydney, Australia
_______________________________________________ Dev mailing list [email protected] http://wso2.org/cgi-bin/mailman/listinfo/dev
