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.*
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