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 <
[email protected]> 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 <
> [email protected]> 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
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