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.*
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