Hi Imesh,
Thanks a lot for the comments and it was really helpful.
On Fri, Apr 22, 2016 at 6:33 AM, Nirmal Fernando wrote:
> [Removed architecture@]
> Will do.
>
> On Fri, Apr 22, 2016 at 12:05 AM, Yudhanjaya Wijeratne <
> yudhanj...@wso2.com> wrote:
>
>> Hi Nirmal, Thamali has briefed me on thi
Hi Thamali,
One other point, people outside WSO2 might not be able to access the Google
Docs you have shared in this thread. You might need to export them as PDF
and share.
Thanks
On Thu, Apr 21, 2016 at 11:53 PM, Imesh Gunaratne wrote:
> Hi Thamali,
>
> It might be better if you can share the
Hi Thamali,
It might be better if you can share the artifacts you used to execute these
tests in a public location. May be including a README.md file with the
steps to be followed.
Thanks
On Thu, Apr 21, 2016 at 6:03 PM, Thamali Wijewardhana
wrote:
> Hi,
>
> I have completed writing the articl
Hi,
I have completed writing the article[1] containing the comparison between
the deeplearning4j library and Keras library considering Recurrent Neural
network(RNN) algorithm.
I also have found out the reasons for low performance of Deeplearning4j
library using Java Flight Recorder(JFR) and Flame
Hi,
I have used a dataset with 25000 rows and the size is 80 MB.
The link to the dataset is:
http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz
On Fri, Apr 8, 2016 at 3:07 PM, Srinath Perera wrote:
> Thamali, how big is the data set you are using? ( give me a link to the
> dat
Thamali, how big is the data set you are using? ( give me a link to the
data set as well).
Nirmal, shall we compare the accuracy of RNN vs. Upul's rolling window
method?
--Srinath
On Fri, Apr 8, 2016 at 9:23 AM, Thamali Wijewardhana
wrote:
> Hi,
>
> I run the RNN algorithm using deeplearning4
Hi,
I run the RNN algorithm using deeplearning4j library and the Keras python
library. The dataset, hyper parameters, network architecture and the
hardware platform are the same. Given below is the time comparison
Deeplearning4j library-40 minutes per 1 epoch
Keras library- 4 minutes per 1 epoch
Hi,
I have organized a review on Monday (4th of April).
Thanks
On Thu, Mar 31, 2016 at 3:21 PM, Srinath Perera wrote:
> Please setup a review. Shall we do it monday?
>
> On Thu, Mar 31, 2016 at 2:15 PM, Thamali Wijewardhana
> wrote:
>
>> Hi,
>>
>> we have created a spark program to prove the
Hi,
we have created a spark program to prove the feasibility of adding the RNN
algorithm to machine learner.
This program demonstrates all the steps in machine learner:
Uploading a dataset
Selecting the hyper parameters for the model
Creating a RNN model using data and training the model
Calcu
Hi all,
One of the most important obstacles in machine learning and deep learning
is getting data into a format that neural nets can understand. Neural nets
understand vectors. Therefore, vectorization is an important part in
building neural network algorithms.
Canova is a Vectorization library f
Hi Srinath,
We have decided to implement only classification first. Once we complete
the classification, we hope to do next value prediction too.
We are basically trying to implement a program to make sure that the
deeplearning4j library we are using is compatible with apache spark
pipeline. And
Hi Thamali,
1. RNN can do both classification and predict next value. Are we trying
to do both?
2. When Upul played with it, he had trouble getting deeplearning4j
implementation work with predict next value scenario. Is it fixed?
3. What are the data sets we will use to verify the
Hi,
Currently we are working on a project to add Recurrent Neural Network(RNN)
algorithm to machine learner. RNN is one of deep learning algorithms with
record breaking accuracy. For more information on RNN please refer link[1].
We have decided to use deeplearning4j which is an open source deep l
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