In the paper A guide to convolution arithmetic for deep learning it literally says
“Another way to obtain the result of a transposed convolution is to apply an equivalent– but much less efficient– direct convolution”
In order to verify this for myself, first, I executed a Conv2DTranspose operation as Andrew showed in the lecture video and then I tried to replicate the results with the same type of direct convolution as shown in Figure 4.1 of the paper. However, I wasn’t able to replicate the results using a direct convolution, so now I am wondering whether I made a mistake somewhere or whether it is actually not possible to replicate a Conv2DTranspose operation with a direct convolution.
Would it be possible for anyone to check out my Google Sheet and tell me whether I made a mistake somewhere?
Update: Find the Google Sheet as a csv file in the comment below