Machine Learning, Perceptron, Perceptron Algorithm, Artificial Neural Network, Multilayer Perceptron.
0.3 w23’ = w23 + Δw23 w23’ =(-0.1) + 0.1 = 0 2nd Epoch: The outputs are calculated again; y1 = 0.3*0 + 0*0 -0.02 = -0.02 <0 → y1 = 0 y2 = 0.3*0 + 0*1 -0.02 = -0.02 <0 → y2 = 0 y3 = 0.3*1 + 0*0 -0.02 = 0.28 >0 → y3 = 1 y4 = 0.3*1 + 0*1 -0.02 = 0.28 > 0 → y4 = 1 Δw11 = 0 ; Δw21 = 0 ; Δw13 = 0 ; Δw23