Hi Lakini, Can you host your current code somewhere, may be in jsfiddle, with all html+css+js stuff (as a working sample), so that we can have a look? It is hard to suggest a solution without even seeing the issue :)
Btw, please keep an eye on the gsoc timeline as well. Mid-term evaluations are less than two weeks away, so we need to have some basic version of the UI in working state, as we discussed at the start. Also try to schedule the demo before that, so that we can have a look at the implementation as well as can sort out any issue prior to the evaluation. Thanks, Supun On Tue, Jun 7, 2016 at 12:57 AM, Lakini Senanayaka < lakinisenanayak...@gmail.com> wrote: > Hi, > > This is my javascript file.I forgot to attach it with the last email. > > Thank you. > > On Mon, Jun 6, 2016 at 10:41 PM, Lakini Senanayaka < > lakinisenanayak...@gmail.com> wrote: > >> Hi, >> >> I have started to build the front end web page and now I'm getting an >> error. >> *jquery UI draggable elements are no longer draggable after drop it in >> the working space*.I have gone through stack over flow questions and >> answers but still I can't drag the element after drop. >> >> I would greatly appreciate if you kindly give me some solutions on this >> problem. >> >> Thank you. >> >> On Sat, Jun 4, 2016 at 8:55 AM, Lakini Senanayaka < >> lakinisenanayak...@gmail.com> wrote: >> >>> Hi mentors, >>> >>> I have a prototype presentation for my 4th year research project next >>> week.So I didn't have time to look in to the builder.How ever I have >>> started to build the NN builder today.I'll submit the demo as soon as >>> possible. >>> >>> Thank you. >>> >>> On Fri, Jun 3, 2016 at 4:40 PM, Lakini Senanayaka < >>> lakinisenanayak...@gmail.com> wrote: >>> >>>> Hi, >>>> >>>> Thank you very much Chathurike.It will be really helpful for my NN >>>> Builder. >>>> >>>> Thank you. >>>> >>>> On Fri, Jun 3, 2016 at 10:50 AM, CD Athuraliya <chathur...@wso2.com> >>>> wrote: >>>> >>>>> Hi Lakini, >>>>> >>>>> You can gain some insight for your NN builder from TensorFlow >>>>> Playground [1]. It is also open source under Apache 2.0 licence [2]. >>>>> >>>>> [1] http://playground.tensorflow.org >>>>> [2] https://github.com/tensorflow/playground >>>>> >>>>> Regards, >>>>> CD >>>>> >>>>> On Thu, Jun 2, 2016 at 8:00 AM, Upul Bandara <u...@wso2.com> wrote: >>>>> >>>>>> Yes at the moment this looks OK. >>>>>> >>>>>> Please put some effort to create a basic version of the NN builder >>>>>> and let's have a quick demo. >>>>>> >>>>>> Let me know if you have further questions or clarifications. >>>>>> >>>>>> Thanks, >>>>>> Upul >>>>>> >>>>>> On Wed, Jun 1, 2016 at 11:29 PM, Lakini Senanayaka < >>>>>> lakinisenanayak...@gmail.com> wrote: >>>>>> >>>>>>> Hi, >>>>>>> >>>>>>> Thank you very much Upul. I will submit a demo soon. >>>>>>> >>>>>>> I have drawn a sketch of NN builder front end[1]. Basically it will >>>>>>> be like this UI[2].(The content will be changed.) >>>>>>> >>>>>>> [1]Sketch of NN Builder >>>>>>> <https://docs.google.com/document/d/1c9F5xECaxuXq65RJaBO33AZZqMN0qNJsqeux3tRfUHE/edit?usp=sharing> >>>>>>> [2]https://www.draw.io/ <https://www.draw.io/> >>>>>>> >>>>>>> In [1],under "layers" users can select the type of the >>>>>>> layer-Input,Hidden or Output layer. >>>>>>> Under "node" and "Connectors"-users can drag and drop nodes and >>>>>>> connectors to the working area and they can build their NN as they wish. >>>>>>> >>>>>>> In the right hand side,there is a setting area.From that user can >>>>>>> set Optimization algorithms,iterations,learning rates,seed etc. of the >>>>>>> neural network. >>>>>>> >>>>>>> Could you please give me comments and your thoughts regrading this? >>>>>>> >>>>>>> Thank you. >>>>>>> >>>>>>> >>>>>>> >>>>>>> On Wed, Jun 1, 2016 at 2:19 PM, Upul Bandara <u...@wso2.com> wrote: >>>>>>> >>>>>>>> Hi, >>>>>>>> >>>>>>>> Good progress. >>>>>>>> >>>>>>>> The key parts of the project are designing the front-end of NN >>>>>>>> builder, communicating between the front-end and the Deeplearning4J >>>>>>>> back-end. >>>>>>>> So at this stage of the project, it is better to put your effort on >>>>>>>> above the components. Later, we can integrate what you have built with >>>>>>>> WSO2 >>>>>>>> Machine Learning server. >>>>>>>> >>>>>>>> Once you have completed a basic NN builder (ability to build a >>>>>>>> simple feedforward is enough) we would like to have a quick demo. >>>>>>>> >>>>>>>> Let me know if you have further questions or clarifications. >>>>>>>> >>>>>>>> Thanks, >>>>>>>> Upul >>>>>>>> >>>>>>>> On Wed, Jun 1, 2016 at 10:42 AM, Lakini Senanayaka < >>>>>>>> lakinisenanayak...@gmail.com> wrote: >>>>>>>> >>>>>>>>> Hi, >>>>>>>>> >>>>>>>>> I'm sorry for the late response.Thank you very much for the last >>>>>>>>> email.I have gone through JQueryUI and I have implemented some samples >>>>>>>>> using JQueryUI.I have gone through the WSO2 machine learner and I >>>>>>>>> have >>>>>>>>> identified the place to insert this jaggery page(replace the >>>>>>>>> hyper-parameter page in the ML UI). >>>>>>>>> Currently I'm designing the sketch of the Deep Neural Network >>>>>>>>> Builder-the front end. >>>>>>>>> I'll send my sketch before tonight.Based on your comments I can >>>>>>>>> start implementations. >>>>>>>>> >>>>>>>>> Thank you. >>>>>>>>> >>>>>>>>> >>>>>>>>> On Wed, Jun 1, 2016 at 9:29 AM, Supun Sethunga <sup...@wso2.com> >>>>>>>>> wrote: >>>>>>>>> >>>>>>>>>> Hi Lakini, >>>>>>>>>> >>>>>>>>>> Any update on the progress? >>>>>>>>>> >>>>>>>>>> Regards, >>>>>>>>>> Supun >>>>>>>>>> >>>>>>>>>> On Fri, May 27, 2016 at 5:34 PM, Supun Sethunga <sup...@wso2.com> >>>>>>>>>> wrote: >>>>>>>>>> >>>>>>>>>>> Hi Lakini, >>>>>>>>>>> >>>>>>>>>>> Sorry for the delayed response. As the first part of the >>>>>>>>>>> project, you can start the work on the UI/drag and drop feature, as >>>>>>>>>>> the >>>>>>>>>>> core of your project is based around that. Therefore, shall we try >>>>>>>>>>> to get a >>>>>>>>>>> basic version of drag and drop UI, by the mid-term evaluation? (No >>>>>>>>>>> need to >>>>>>>>>>> connect the UI with the dl4j, for the first phase) So this would be >>>>>>>>>>> include: >>>>>>>>>>> >>>>>>>>>>> - A link/re-direct to go to Visual builder, upon selecting >>>>>>>>>>> the Neural Netowrks (as the algorithm) >>>>>>>>>>> - The drawing/dropping area and a panel to pick the objects >>>>>>>>>>> to be dragged (objects as in, nodes, layers, links, etc) >>>>>>>>>>> >>>>>>>>>>> This drag and drop page should replace the hyper-parameter page >>>>>>>>>>> in the ML UI. More precisely, In the Machine Learner wizard, when a >>>>>>>>>>> user >>>>>>>>>>> picks the algorithm name as Neural Network, and proceed, this drag >>>>>>>>>>> and drop >>>>>>>>>>> page should be prompted instead of the hyper-parameters page. You >>>>>>>>>>> can >>>>>>>>>>> create the overall page as a jaggery page (.jag). It would be >>>>>>>>>>> easier for >>>>>>>>>>> you to get a copy of an existing page, and modifying the content. >>>>>>>>>>> That will >>>>>>>>>>> preserve the existing styles, session handling etc. >>>>>>>>>>> >>>>>>>>>>> Please feel free to raise any question you come across during >>>>>>>>>>> implementing. >>>>>>>>>>> >>>>>>>>>>> Regards, >>>>>>>>>>> Supun >>>>>>>>>>> >>>>>>>>>>> On Tue, May 24, 2016 at 8:09 PM, Lakini Senanayaka < >>>>>>>>>>> lakinisenanayak...@gmail.com> wrote: >>>>>>>>>>> >>>>>>>>>>>> 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.* >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>>>>> *Supun Sethunga* >>>>>>>>>>> Software Engineer >>>>>>>>>>> WSO2, Inc. >>>>>>>>>>> http://wso2.com/ >>>>>>>>>>> lean | enterprise | middleware >>>>>>>>>>> Mobile : +94 716546324 >>>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> -- >>>>>>>>>> *Supun Sethunga* >>>>>>>>>> Software Engineer >>>>>>>>>> WSO2, Inc. >>>>>>>>>> http://wso2.com/ >>>>>>>>>> lean | enterprise | middleware >>>>>>>>>> Mobile : +94 716546324 >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> -- >>>>>>>>> Thank you. >>>>>>>>> >>>>>>>>> Sincerely, >>>>>>>>> *Lakini Senanayaka.* >>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> -- >>>>>>>> Upul Bandara, >>>>>>>> Associate Technical Lead, WSO2, Inc., >>>>>>>> Mob: +94 715 468 345. >>>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>>> -- >>>>>>> Thank you. >>>>>>> >>>>>>> Sincerely, >>>>>>> *Lakini Senanayaka.* >>>>>>> >>>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> Upul Bandara, >>>>>> Associate Technical Lead, WSO2, Inc., >>>>>> Mob: +94 715 468 345. >>>>>> >>>>>> _______________________________________________ >>>>>> Dev mailing list >>>>>> Dev@wso2.org >>>>>> http://wso2.org/cgi-bin/mailman/listinfo/dev >>>>>> >>>>>> >>>>> >>>>> >>>>> -- >>>>> *CD Athuraliya* >>>>> Software Engineer >>>>> WSO2, Inc. >>>>> lean . enterprise . middleware >>>>> Mobile: +94 716288847 <94716288847> >>>>> LinkedIn <http://lk.linkedin.com/in/cdathuraliya> | Twitter >>>>> <https://twitter.com/cdathuraliya> | Blog >>>>> <https://cdathuraliya.wordpress.com/> >>>>> >>>> >>>> >>>> >>>> -- >>>> Thank you. >>>> >>>> Sincerely, >>>> *Lakini Senanayaka.* >>>> >>>> >>> >>> >>> -- >>> Sincerely, >>> *Lakini Senanayaka.* >>> >>> >> >> >> -- >> Sincerely, >> *Lakini Senanayaka.* >> >> > > > -- > Sincerely, > *Lakini Senanayaka.* > > -- *Supun Sethunga* Senior Software Engineer WSO2, Inc. http://wso2.com/ lean | enterprise | middleware Mobile : +94 716546324
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