Consider the following table defining the sample inputs and corresponding target values for a perceptron model. What shall be the value of the updated weights after applying all the samples S1 to S4 (in the order S1, S2, S3, S4) to this model? Given that the initial weights w1 = 0, w2 = 0, learning rate = 0.1 and no bias is involved in the perceptron. The activation function is: y_observed = 1 if y_in > 0; 0 if y_in < 0.

Sample	x1	x2	target
S1	0	0	0
S2	0	1	1
S3	1	0	1
S4	1	1	1

1. Aw1 = 0.1, w2 = 0.1
2. Bw1 = 0.0, w2 = 0.2
3. Cw1 = 0.0, w2 = 0.1
4. Dw1 = 0.2, w2 = 0.2

Pick an option to check yourself, or open the answer below.