Learning vector quantization (LVQ): four-vectors assigned to two classes. In this, two reference vectors will be used. The following input vectors represent two classes, 1 and 2: VECTOR1 (1, 0, 0, 0), CLASS1, VECTOR2 (0, 1, 1, 0), CLASS2, VECTOR3 (0, 0, 1, 1), CLASS2, & VECTOR4 (1, l,0, 0), CLASS1. The first two vectors will be used to initialize the two reference vectors. Thus, the first output unit represents class1, the second class2 (symbolically, = 1 and = 2). This leaves vectors (0, 0, 1, 1) & (1, l,0, 0) as the training vectors. Initialize the learning rate: a = 0.1. Find new weights W2=?, & W1=?