In this problem, we will train a multi-class perceptron on data of the form (f(x) \in \mathbb{r}^2, y \in \{a, b, c\})(f(x)∈r 2 ,y∈{a, b,c}). in particular, we will use training data to update three weight vectors, w_y \in \mathbb{r}^2, y = a, b, cw y ∈r 2 ,y=a, b,c. we begin with the following set of randomly-initialized weight vectors: yy w_{y,1}w y,1 w_{y,2}w y,2 a -0.82 -0.02 b -1.63 -0.88 c 0.39 0.65