Comments (3)
I understand how this can be confusing: the convention we are using is to refer to the parameters of the direct convolution as i
, k
, s
and p
, and those of the transposed convolution (i.e., the one that we would apply to the output of the transposed convolution if we wanted to obtain a matrix of the same shape as the one the direct convolution was applied on) as i'
, k'
, s'
and p'
.
In other words, what Figure 4.2's captions is saying is that if we had a direct convolution from a matrix A to a matrix B, with matrix A being 5x5, using a 4x4 kernel, unit stride and 2x2 padding (i.e., i=5
, k=4
, s= 1
and p=2
) and we applied a transposed convolution to B to obtain a matrix C of the same shape as A, the transposed convolution would have parameters i'=6
, k'=4
, s'= 1
and p'=1
.
I hope this helps clarifying it.
from conv_arithmetic.
I have been trying to implement it in JAX, but being unable to match the dimensions with the formula is really putting me off. Should I apply the a-trous formula there or something else is wrong there? Some help would be really appreciated as I am stuck due to this.
from conv_arithmetic.
Unfortunately we don't have the resources to provide help with your code nor to provide guidance on how to implement this, but please let me know if there is something that is still unclear about the Figure or the guide.
from conv_arithmetic.
Related Issues (20)
- how about the stride 2 kernel=2 deconvlution animations ? HOT 4
- Error in convolution computation HOT 6
- Error in Figure 4.7 (Page 27) Description? HOT 2
- customize conv2d backward HOT 1
- make error HOT 5
- Partial Convolutions HOT 1
- Misleading README license statement HOT 2
- make error HOT 4
- Cyan? HOT 2
- Convolution algorithm HOT 1
- How to run the project? HOT 2
- How did you draw such a beautiful gif? HOT 1
- The transposed convolutional animation is confusing HOT 2
- Code run HOT 1
- something confusing about examples in transpose conv? HOT 1
- Test 102
- Readme miss labeling on transpose convolution input/output
- Possible minor error in sentence: "zero padding" -> "padding" HOT 1
- Possible typo in Figure 4.6 caption: 2 × 2 input -> 3 × 3 input HOT 1
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from conv_arithmetic.