A. The formula for deep network calculation involves sequentially computing the output of each layer. It starts with input data fed into the first layer, then successively applies activation functions to the weighted sum of inputs at each layer. This process continues until the output layer is reached, providing the final prediction or result of the deep neural network's computation.