Opportunities @ sun Sushant Kumar

Software Freedom Day’08





21st September 08

SMVD University

Sushant Kumar



In recent years, the importance of Software freedom has came as a big boon for both the users and developers.

It has the biggest impact on enterprise market who uses the Free and Open Source software.

And on a general trend, it wont be impractical to say that coming years are guaranteed to be dominated by this “Truly Human Spirit”.

        Developing something, in your precious time for some one whom you don’t event know, and giving him right to modify it according to ones choice can be termed as the ultimate selflessness. Even the most compact summery of whole religion is not different than this. 

But till now, the biggest obstacle in the progressive path of Open Source software is its publicity, understanding and familiarity.

So, we have taken this route to take another step in the growing horizon of Open Source.

We had planned the whole event some 10 days back and transferred the most of responsibility to the juniors (Mostly from2nd year).

They prepared some cool and easy to understand yet informative presentation on various Open Source Technologies including

Open Office, Mysql, Lamp and many others.

We started the Event late in day. All audiences were well charged. I started with focusing on the problems posed by closed

Source software and proposed the use of Open Source Software as a prominent solution.

Next I formally introduced the audience with Open Source paradigm.

Next I invited Tarun Chawla for a detail on Open Source.

Tarun Chawla, the one man freak from Computer Science 4th year presented a consolidate view of Open Source and did some sharp attack on Proprietary providers. He even blamed them of Stealing Codes.

It was quickly followed by a live presentation by Ankur and Praveen about Open Office. They showed various aspects and benefits of Open Office over other Office Suit.

Next, came Surbhi and Kamal with a detailed presentation on Mysql. They discussed about its industry strengths, engines and customization.

They also displayed various comparisons from Google Trend.

It was followed by a Recap with Quiz. I asked few questions from previous slides (And promised them gifts).

Now was the time for Lamp, discussed in detail by Divya and Amit. They discussed various component technologies of Lamp,

 its popularity issues and  Story of market adoption.

Finally came Abhishek and … with details of various types of Licenses. They discussed EULA, GPL, LGPL, CDDL and GPL2.

They also discussed about Mozilla Firefox.

At the end of the day, we distributed OpenSolaris and Netbeans DVD. We also demonstrated the installation of these two on my computer.

Netbeans took approx. 8 minutes and OpenSolaris took 24 minutes to install.

Finally we saw a popular Hindi Movie (A Wednesday), went out for a light eating.



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Tarun Showcasing OS Evolution

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Charmed Audiences

Divya with her Magic LAMP

 Amit with the Backbone of Internet

 Installation works too blogs.sun.com/images/smileys/smile.gif" class="smiley" alt=":)" title=":)" /> .

Create a neural net in easy five steps

Project Home

When I first used tools like JOONE, it took me quite a while
to understand its usability.Although the tool was nothing less that awesome, i wished it
was more easy to use and then thought, why not make a tool with complete automation
support with is as you’ll see is done in 5 easy steps.

- ragha

• Step 1: Create a
  network
  

Set up the num of inputs and outputs to the neural network.Add desired num of hidden layers (In the future we are going to add an auto detect mode which
will be able to decide the neural network configuration based on given train
data)

• Step 2: Set up the training data

Create a txt file with training data and load it.The format is as follows:

Ex - For a network with 2 inputs and outputs

1.2,2.2;0.5,0.43

Char ‘;’ separated the input and output set and ‘,’ separates the values within the set

• Step 3: set up validation data (optional)

Loading the data and its format is similar to the train data If used, the validation data will be used to determine the
performance of the network…

Otherwise conventional ways are used. Validation data can be used to prevent over-fitting of the
data

• Step 4: Train the network

Here you can set the required parameters and start training
the network. A graph is shown to indicate the current error.The graph could be used determine if the network is already
saturated and then you could decide to stop training to prevent over-fitting

• Step 5: Analyze the performance

Here you could test and evaluate the network to see how well
it performs on unknown inputs (This part is yet to be constructed) The network could also be saved and loaded at any time.

Future plans for the tool include automating of the complete
procedure ie, you just have to supply the train data and rest of the
parameters are auto detected (although this mode will consume more time, it will help
save all your trials and errors)

We’ll keep you posted with more improvements

- JNeuralNet Team