Question 31
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, but make use of Depthwise Seperable convolution and pointwise convolution instead of standard convolution. Based on the above data, answer the given subquestions.
Computational cost for pointwise convolution:__________________