spiharsh-zz/neural-networks-gradientdescent

Implementation of the gradient descent algorithm to train a sigmoid unit for binary classification tasks

Neural-Networks-GradientDescent

Implementation of the gradient descent algorithm to train a sigmoid unit for binary classification tasks

--- Neural Network Homework 3 Programming Part.

Running the Executables:

1. Open Command Prompt.
2. Change the location to release location of the project which is ::NN_SigmoidFunction\NN_SigmoidFunction\bin\Release\
3. To run the program, follow the below syntax :

NN_SigmoidFunction

The project is included with all the train and test data provided with the assignment.

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Source Code:

Source can be found in ..\NN_SigmoidFunction\NN_SigmoidFunction\Program.cs

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Running the Project :

1. Open the Solution File name NN_SigmoidFunction.sln present inisde ..\NN_SigmoidFunction\
2. Build the Soution(Ctrl+ Shift+ B)
3. Press F5 to run the Project.

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Settting Command Line Arguments inside project.

1. Open the project inside Visual Studio.
2. Go to Project Menu and click on NN_SigmoidFunction Properties...
3. Inside the Debug Tab, find Commandline Arguments.
4. Update it according to the rewuirement

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Programming Environemnt Used

-> This is programmed using C# on Visual Studion 2012