To cut to its chase, to guarantee that
P(generalization error < eps) > 1 - deltarequires
N = max( (8 d / eps) log (8 d / eps) , (4 / eps) log (2 / delta) )samples, where d=VC(C) is the VC dimension of the concept class in use.
Also, modern results (not in the book for some reason) show that the VC dimension of a multilayer perceptron with W weights is W. (It's somewhat larger for sigmoidal units rather than hard thresholds - actually W*W - but you can just consider hard threshold units for simplicity.)