Perceptron algorithm in words

For each node in the output layer:

• Calculate the error, which can only take the values -1, 0, and 1
• If the error is 0, the goal has been achieved. Otherwise, we adjust the weights
• Do not alter weights from inactivated input nodes
• Decrease the weight if the error was 1, increase it if the error was -1