This is part of a slope calculation example to update the new weight of a neural network from the slope. From a Deep Learning course on DataCamp
My math is a bit dodgy and what I don't understand is how this sum equals 2.24? What's the order of operations here that gives this number? What am I missing here? 2 is the original weight, -24 is the slope, 0.01 is the learning rate.
2 - 0.01 (-24) = 2.24