(Convolutional Neural Network) The configuration of a convolutional neural network (CNN) for 50 -class classification is described in the following table. The setting "same" means that the input and output volumes of a layer should have the same width and heights, by setting the padding number p to an appropriate value. The padding number p is 0 by default. (a) Please draw all the layers of the network architecture, including input, intermediate, and output layers, and show the hyperparameters (e.g., filter size, padding number, stride size, number of filters) and the dimensions of input/output volumes for each layer. For the layer with the setting "same", the padding number is not 0 and must be provided in your answers. (b) Please show the numbers of hyperparameters and parameters for layer 1 (CONV1), layer 3 (MAX-POOL 1), and layer 7(FC1)