Train a perceptron to classify the following instances correctly. Assume that initial w1 = 0.75; w2 = 0.45; w0 = -0.75.
Posted: Fri Jul 08, 2022 7:27 am
Train a perceptron to classify the following instancescorrectly.
Assume that initial w1 = 0.75; w2 = 0.45; w0 = -0.75. Z = 0.75X+ 0.45Y – 0.75. Learning Rate = 0.1. Show all the steps todemonstrate the learning process and the final perceptron equation.No points are given if only the answer is provided.
Inputs X W1 W2 Linear Combiner Wo M Bias Z X 0 0 1 1 Hard Limiter Ꮎ = 0 Threshold Y 0 1 0 1 Output Y Output 0 1 1 1 Z = W₁X + W₂Y + Wo (1 if Z ≥ 0 0 ifZ < 0 Output =
- Train A Perceptron To Classify The Following Instances Correctly Assume That Initial W1 0 75 W2 0 45 W0 0 75 1 (49.72 KiB) Viewed 42 times
Inputs X W1 W2 Linear Combiner Wo M Bias Z X 0 0 1 1 Hard Limiter Ꮎ = 0 Threshold Y 0 1 0 1 Output Y Output 0 1 1 1 Z = W₁X + W₂Y + Wo (1 if Z ≥ 0 0 ifZ < 0 Output =