I need help with the following perceptron problem:

Implement the single layer perceptron rule model to solve the following training set. Assume all weights start at 0 and the learning rate is 0.6. Make sure to show the weight changes after each presentation of a pattern. Show your work. Give the weight vectors after 2 epochs. 1 -.5 1 1 .5 7.5 -> 0 -1 -.5 .5 -> 1 0 1 .3 -> 0