It’s a very simple problem, but it’s a bit confusing.
Below is a typical MSE loss function that I am aware of.
1/n(∑  (y_i - y’_i)^2)
*∑ → i=1 to n
What does n mean here is the size of a mini-batch?
One more question is, shouldn’t the general MSE formula be marked as follows in order to express the loss in the neural network with more than 2 outputs?
1/(m*k)(∑  ∑  (y_i,j - y’_i,j)^2)
*First ∑ → i=1 to m, second ∑ → j=1 to k,
m = mini-batch size
k = The number of output neurons