Question 18: Let an input to a convolutional layer in a CNN have size…

Let an input to a convolutional layer in a CNN have size Df × Df × M where Df = 64 and M = 16, and output feature map (after passing input through conv layer) has Df × Df × N size where N = 8. Let the kernel in the conv layer be k × k where k = 3. Calculate the number of parameters for this convolution layer. (Assume appropriate padding is applied for all convolutions so the input and output sizes are equal. Ignore the bias term in the calculation).