This is a simple perceptron homework.

Assume a 3 input perceptron plus bias (it outputs 1 if net >0, else 0 ) Assume a learning rate c of 1 and initial weights all 1: wi=c(tz)xi Show weights after each pattern for just one epoch Training set 11100.5.41101.5>0>0>1>1 Pattern Target (t) Weight Vector(wi) Net Output (z)W 1111