Hi, Thank you very much for the suggestions.I will be using JQueryUI.
As my coding period started yesterday according to the GSoC Schedule I would like to know the workload that should be completed before the midterm evaluation. Please advise me accordingly. Thank you. On Tue, May 24, 2016 at 10:34 AM, Supun Sethunga <sup...@wso2.com> wrote: > Hi Lakini, > > Yes you can use any of them, with open source licence. But I would prefer > JQueryUI, as its a well known library, and is already been used by some of > the wso2 products. > > Regards, > Supun > > On Tue, May 24, 2016 at 9:29 AM, Lakini Senanayaka < > lakinisenanayak...@gmail.com> wrote: > >> Hi, >> >> I have found some libraries to build drag and drop UI for our front end >> .They are JQury UI[1],Dragula[2],Draggablily[3]. >> I hope I can do the developments using these libraries. >> >> [1]jqueryui <http://jqueryui.com/> >> [2]dragula <https://bevacqua.github.io/dragula/> >> [3]draggabilly <http://draggabilly.desandro.com/> >> >> Could you please tell me if you have any other suggestions? >> >> On Sat, May 21, 2016 at 11:05 PM, Lakini Senanayaka < >> lakinisenanayak...@gmail.com> wrote: >> >>> Hi , >>> >>> This is my weekly progress update of my project. >>> >>> I have solved all the problems I have mentioned in the last email.I >>> could find a class BaseDatasetIterator which is in DL4J where we can find >>> inbuilt iterators for CurvesDataSetIterator, IrisDataSetIterator, >>> MnistDataSetIterator, MovingWindowBaseDataSetIterator, >>> RawMnistDataSetIterator .There is no iterator for CIFAR dataset yet. >>> >>> I have gone through the whole documentation except Deeplearning4j on >>> Spark.The latest documentation is very understandable than the earlier >>> one.I have studied neural networks- Restricted Boltzmann Machines, >>> Convolutional Nets (ConvNets), >>> Long Short-Term Memory Units (LSTMs), >>> Denoising Autoencoders, >>> Recurrent Nets and LSTMs, >>> Multilayer Neural Nets, >>> Deep-Belief Network, >>> Deep AutoEncoder, >>> Stacked Denoising Autoencoders >>> >>> I have run the example codes[1] and I have understood the >>> implementations.I have rerun the codes with modifying different parameter >>> values like number and size of the hidden layers, learning rate, momentum, >>> weight distribution and various types of regularization and checked the >>> performance. >>> >>> I have implemented a convolution net[3] and trained it using LFW >>> dataset[2] and a Recurrent net[4].Still I have a problem in vectorizing >>> CIFRA-10 data set. >>> >>> Currently I am researching about libraries to build drag & drop UI >>> for front end. >>> >>> [1]dl4j-0.4-examples >>> <https://github.com/deeplearning4j/dl4j-0.4-examples> >>> [2]LFW Face Dataset <http://vis-www.cs.umass.edu/lfw/> >>> [3]ConvolutionNetLFW >>> <https://github.com/Lakini/Deeplearning4Java/blob/master/src/main/java/org/deeplearning4j/examples/convolution/ConvolutionNetLFW.java> >>> [4]RecurrentNetworkExample >>> <https://github.com/Lakini/Deeplearning4Java/blob/master/src/main/java/org/deeplearning4j/examples/recurrent/basic/RecurrentNetworkExample.java> >>> >>> >>> Could you please guide me to do the next step of my project . >>> >>> Thank you. >>> >>> Sincerely, >>> *Lakini Senanayaka.* >>> >>> >> >> >> -- >> Thank you. >> >> Sincerely, >> *Lakini Senanayaka.* >> >> > > > -- > *Supun Sethunga* > Software Engineer > WSO2, Inc. > http://wso2.com/ > lean | enterprise | middleware > Mobile : +94 716546324 > -- Thank you. Sincerely, *Lakini Senanayaka.*
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