Hw on OR gate, Due Thursday, march 9 Simulate the OR gate with a single neuron, sample set: 1. Train with on_lime learning 2. Train with off-line learning x3=1Wpi=pix(pypt)yp(1yp)ervorE=p=144(ypt)2.y=1+e1Sisimoidfunction=w1x1+w2x2+w3 start with randow w1,w2,w3 then update with on-line and off-line training, Stop when E0.01. us.e =0.1. Hw on OR gate, Due Thursday, march 9 Simulate the OR gate with a single neuron, sample set: 1. Train with on_lime learning 2. Train with off-line learning x3=1Wpi=pix(pypt)yp(1yp)ervorE=p=144(ypt)2.y=1+e1Sisimoidfunction=w1x1+w2x2+w3 start with randow w1,w2,w3 then update with on-line and off-line training, Stop when E0.01. us.e =0.1