Generating a final logistic regression model from bagging

So I'm using bagging to generate N bootstrapped samples. Then training N logistic regression classifiers. Each N classifier outputs some probability of being in a binary class. I average their predictions to get a final prediction.

My question is if taking the average of the N sets of regression coefficients and using them in a new logistic classifier to output a final probability is the same as averaging the output of the N classifiers.