Design a classifier by using the perceptron learning algorithm. Assume the learning rate α is 0.1, initial guess w0 = [
Posted: Thu May 12, 2022 9:22 am
Design a classifier by using the perceptron learning algorithm.
Assume the learning rate α is 0.1, initial guess w0 = [0.5, -0.5,
0.5, -0.5]. Given the data set: X1 = (-1, 0, 1.5, -0.5), y2 = -1;
X2 = (-1, 1, -2, 0), y1 = -1; X3 = (-1, -1, 1, 0.5), y3 = 1. After
using X1, the adjusted weights are
[0.5, -0.5, 0.5, -0.5]
[0.6, -0.5, 0.3, -0.4]
[0.7, -0.4, 0.5, -0.8]
[0.7, -0.5, 0.2, -0.4]
others
Assume the learning rate α is 0.1, initial guess w0 = [0.5, -0.5,
0.5, -0.5]. Given the data set: X1 = (-1, 0, 1.5, -0.5), y2 = -1;
X2 = (-1, 1, -2, 0), y1 = -1; X3 = (-1, -1, 1, 0.5), y3 = 1. After
using X1, the adjusted weights are
[0.5, -0.5, 0.5, -0.5]
[0.6, -0.5, 0.3, -0.4]
[0.7, -0.4, 0.5, -0.8]
[0.7, -0.5, 0.2, -0.4]
others