I am confusing on completing one epoch, I am using Single Layer Feed Forward neural Network approach. Lets suppose i have a data of OR Gate:
X1 X2 Target 0 0 0 0 1 1 1 0 1 1 1 1
Now we initialize weights (w1 and w2 with 0) and bias 1, it satisfy our first condition
0 0 0 with delta rule (T-O=0) but when we use same weight and same bias with
0 1 1 this row not satisfy with (w1 = 0 , w2 = 0, b= 1) so we change our weight and bias values, now my question is:
We changed value on 2nd row, now we have new weight values and bias value, do we need to check the third row which is
1 0 1 with new weight and bias value or with old one which is (w1=0, w2=0, b=1) ? and if we check 2nd row 3rd row and 4th row with new values and it satisfy 2nd 3rd and 4th row with new value, does this complete our 1st epoch ? but how because we didn't check the first row with new value.