Single-Layer-Perceptron

Single Layer Perceptrons are the fundamental of Neural Networks. They are very effective on linearly separable classes.

Youtube Link

How it looks like

What does this code do ?

1. Takes the input data pairs (x,y coordinates)
2. Takes the targets which is represented in these coordinates
3. Draws a linear line between these 2 classes ( if linearly separable)

Notes

1. I just used C++ to create the algorithm
2. Opencv library is just used for visualization of the results, you may delete if you dont have in your environment