[shoemai]

Super basic explanation:

It's training a neural network to classify a data set with two classes (orange or blue) and the data has two features (x1 or x2). All the orange and blue dots are the training data. So if you take a dot on the graph with coordinates (-2, 4) and it's blue, that would mean that a data point with x1 = -2 and x2 = 4 has the class blue.

You can think of a neural network as a function that can take in arbitrary features (in this case x1 and x2) and tries to output the correct class. That's what the orange and blue colors in the background are, the neural network's guess at the correct classification for any given point (x1, x2).

When you hit play, it iterates through the training data making adjustments to each neuron in the network so that it gets closer to predicting the right class.

If you want to see how well the neural network performs on data it wasn't trained on, you can click "show test data".