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This repository has been archived by the owner on Jun 8, 2023. It is now read-only.
Thanks guys for this amazing report, it helped me a lot in understanding convolutional arithmetic.
I think I found a slight error in the description of the figure 4.7 description on page 27 (line 3). Straight from the report:
The transpose of convolving a $3 \times 3$ kernel over a $6 \times 6$ input padded with a $1 \times 1$ border of zeros using $2 \times 2$ strides (i.e., $i = 6$, $k = 3$, $s = 2$ and $p = 1$). It is equivalent to convolving a $3 \times 3$ kernel over a 2 \times 2 input (with $1$ zero inserted between inputs) padded with a $1 \times 1$ border of zeros (with an additional border of size $1$ added to the bottom and right edges) using unit strides (i.e., $i' = 3$, $\tilde{i}' = 5$, $a = 1$, $k' = k$, $s' = 1$ and $p' = 1$).
Shouldn't this be 3 \times 3 ? The visual is probably correct, this feels erroneous, and can be seen by calculating directly from the formula of the direct convolution.
The text was updated successfully, but these errors were encountered:
Just found the same mistake as did @ShikharJ. It appeared in the caption of Figure 4.7 on Page 27, shown below.
The text with a red underline should be 3 x 3 input.
Thanks guys for this amazing report, it helped me a lot in understanding convolutional arithmetic.
I think I found a slight error in the description of the figure 4.7 description on page 27 (line 3). Straight from the report:
The transpose of convolving a$3 \times 3$ kernel over a $6 \times 6$ input padded with a $1 \times 1$ border of zeros using $2 \times 2$ strides (i.e., $i = 6$ , $k = 3$ , $s = 2$ and $p = 1$ ). It is equivalent to convolving a $3 \times 3$ kernel over a 2 \times 2 input (with $1$ zero inserted between inputs) padded with a $1 \times 1$ border of zeros (with an additional border of size $1$ added to the bottom and right edges) using unit strides (i.e., $i' = 3$ , $\tilde{i}' = 5$ , $a = 1$ , $k' = k$ , $s' = 1$ and $p' = 1$ ).
Shouldn't this be 3 \times 3 ? The visual is probably correct, this feels erroneous, and can be seen by calculating directly from the formula of the direct convolution.
The text was updated successfully, but these errors were encountered: