Using these four feature vectors in
the order listed (See Below, the first vector is [0, 1, 0, 1]) with
a Bias of constant one and assume the random initial weights are
[0.1, -0.6, 0.3, -0.7], calculate the next four iterations,
calculate the next four weights using the perceptron learning
algorithm. Assume the learning rate, alpha is equal to 0.2
X
Y
Z
Bias
Class
0
1
0
1
A(+1)
1
0
0
1
A(+1)
1
1
1
1...