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
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