3 ms·
but with backprop you do not worry about computing derivatives by hand. backprop and AD in general means you do not have to do that. maybe one of us is misunder
by medo-bear 5y ago
but with backprop you do not worry about computing derivatives by hand. backprop and AD in general means you do not have to do that. maybe one of us is misunderstanding the other
i am saying that if you want to work with ML algorithms on a more deeper level you must learn backprop
if you want to implement some models on the other hand, you can just follow a recipe approach