This project is aimed at explaining and illustrating how perceptrons work (neural networks).
The interface shows, how, step by step, the perceptron is trained against the data points added by the user.
The method used to train the algorithm is called the gradient descent.
The activation function is the sigmoid.
Made in 2013 with mootools.