LIVE INFERENCE
INPUT A
INPUT B
→
OUTPUT
0
0
0
w0=0.00
w1=0.00
∑=0.00
STEP
0
sum = (A × w0) + (B × w1) + bias
sum = (0×0.00) + (0×0.00) + (0.00)
sum = 0.00 output = 0
WEIGHTS & TRAINING
W0 (A)
0.00
W1 (B)
0.00
BIAS
0.00
TOTAL ERROR ACROSS ALL 4 CASES
0 / 4 wrong
XOR IS NOT LINEARLY SEPARABLE. A SINGLE PERCEPTRON CANNOT LEARN THIS. YOU NEED DEPTH.
epoch: 0 | lr: 0.1
TRUTH TABLE // ALL CASES
| A | B | TARGET | OUTPUT | ERROR | WEIGHTED SUM |
|---|