Suppose we have a network with two convolutional layers and one picture of size 27 ✕ 27. The first layer has kernel 5 ✕ 5, stride 2, padding 1, dilation 2. The second layer has kernel 3 ✕ 3, stride 2, padding 0, dilation 2. Calculate the Receptive Field of the pixels from the feature map of the first convolutional layer and of the second one. You will get the squares with sizes A and B. As the answer write their sum (A + B).

