How to apply Gradient Descent to a summ of function
I came up with the simple answer after I just rewrite this idea on paper:

$$\frac{\delta \sum \Big[f(x,y)\Big]}{\delta x}  = \sum \frac{\delta f(x,y)}{\delta x}$$

so it's just partial derivative for each Experimental Dot summed.
Algo works quite well.