Question 29: Let input have size D_f \times D_f \times M where D_f = …

Let input have size $D_f \times D_f \times M$ where $D_f = 128$ and $M = 16$ and output feature map (after passing input through conv layer) has $D_f \times D_f \times N$ size where $N = 32$. Assume padded convolution. Let width of the square kernel in conv layer be $k$ where $k = 5$ (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.

Number of parameters for depthwise convolution: __________________