3. Xi. Train the perceptron network on the side up to 6 iterations (number of repetitions)? (20 Points) y Input data Wi W2 X1 = (x1, x2, x3) = (1,0,1), y1 = 1 X2 = (x1, x2, x3) = (0,1,0), y2 = 0 W = (w1, w2, w3) = (1, 2, 0.8) X2: Weights Threshold value Learning coefficient: X3 0 = -1 2 = 0.5

3. Xi W: W2 X2 W: Yandaki perceptron an 6 iterasyona (tekrar says) kadar an eitimini yapnz? (20 Puan) y Giri verileri : X1 = (x1, x2, x3) = (1,0,1), y1=1 X2 = (x1, x2, x3) = (0,1,0), y2=0 Arlklar W = (w1, W2, W3) = (1, 2, 0.8) Eik deeri o = -1 renme katsays: 2 = 0.5 X2 3. Xi W: W2 X2 W: Yandaki perceptron an 6 iterasyona (tekrar says) kadar an eitimini yapnz? (20 Puan) y Giri verileri : X1 = (x1, x2, x3) = (1,0,1), y1=1 X2 = (x1, x2, x3) = (0,1,0), y2=0 Arlklar W = (w1, W2, W3) = (1, 2, 0.8) Eik deeri o = -1 renme katsays: 2 = 0.5 X2