Thanks for reading.
I'm currently reading Tom Mitchell's Machine Learning (I'm a beginner into ML), and I'm on chapter 4 about perceptrons. I'm really confused about this paragraph:
I understand the AND but I'm still not so sure how OR can be represented.
For example, if the inputs are:
$X_1 = +1$
$X_2 = -1$
In that case, using his logic for OR we would end up with the perceptron actually outputting -1, because:
$1*0.5 + -1*0.5 - .3 = -.3$
The function would give us a negative number. Is he wrong about the OR function? How would a single perceptron act as an OR?