Question 27
Let input have size Df × Df × M where Df = 10 and M = 256 and output feature map (after passing input through conv layer) has Df × Df × N size where N = 512. Assume padded convolution. Let width of the square kernel in conv layer be k where k = 7 (Ignore the bias term in the calculation). Calculate the number of parameters and computational cost for this convolution layer. Based on the above data, answer the given subquestions.
Computational Cost:___________________