concepts of deep learning

YBAR -
Y YBAR
Y
LEARNI
YBARCA PREDIC
GIVEN BIAS NG
LC TED
RATE
OUTPU OUTPU DIFFERE
X1 W1 X2 W2 T T NCE 0.5
0 0 0 0 0 0.1 0.1 1 1
ITERATION 1
0 0 1 0 1 0.1 0.1 1 0
1 0 0 0 1 0.1 0.1 1 0
1 0 1 0 1 0.1 0.1 1 0

YBAR -
Y YBAR
Y
LEARNI
YBARCA PREDIC
GIVEN BIAS LC TED NG
RATE
OUTPU OUTPU DIFFERE
X1 W1 X2 W2 T T NCE 0.5
0 0 0 0 0 -0.4 -0.4 0 0
ITERATION 2
0 0 1 0 1 -0.4 -0.4 0 -1
1 0 0 0 1 -0.4 -0.4 0 -1
1 0 1 0 1 -0.4 -0.4 0 -1


YBAR -
Y YBAR
Y
LEARNI
GIVEN BIAS YBARCA PREDIC NG
LC TED
RATE
OUTPU OUTPU DIFFERE
X1 W1 X2 W2 T T NCE 0.5
0 0 0 0 0 -0.4 -0.4 0 0
ITERATION 3
0 0 1 0.5 1 -0.4 0.1 1 0
1 0.5 0 0 1 -0.4 0.1 1 0
1 0.5 1 0.5 1 -0.4 0.6 1 0



once Y and Ybar are same then the iteration stops

, GIVN OUTPUT AND PREDICTEDOUTPUT ARE NOT SAME
SO GO FOR WEIGHT AND BIAS ADJUSTMENT




W=W-(LR*D*X)
B=B-LR*D



0.5