Understanding The Vertical and Horizontal stack in conditional gated Pixelcnn paper The Next CEO of Stack Overflow2019 Community Moderator ElectionUnderstanding dropout and gradient descentBest machine learning algorithm for understanding specific conditional structuresUnderstanding regularisation and a preference for small weightsUnderstanding cnnunderstanding the filter function in convolution neural networkCustom conditional Keras metricUnderstanding Embeddings input and output sizesRecognizing circled numbers on a piece of paper
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Understanding The Vertical and Horizontal stack in conditional gated Pixelcnn paper
The Next CEO of Stack Overflow2019 Community Moderator ElectionUnderstanding dropout and gradient descentBest machine learning algorithm for understanding specific conditional structuresUnderstanding regularisation and a preference for small weightsUnderstanding cnnunderstanding the filter function in convolution neural networkCustom conditional Keras metricUnderstanding Embeddings input and output sizesRecognizing circled numbers on a piece of paper
$begingroup$
I found some confusion understanding the importance of vertical and horizontal stacks as a solution to the blind spot problem presented in the original pixel cnn architecture discussed in this paper. The vertical and horizontal stacks ideas were presented in the this paper.
Therefore, after browsing, I found this link to explain the concept.
In the vertical stack section of the web page, I still find that pixel f, still cannot see pixels c, d and e.
Any help is much appreciated!!
neural-network cnn
edited Feb 19 at 17:42
ebrahimi
74421022
asked Aug 29 '18 at 15:20
I. AI. A
13717
$endgroup$
bumped to the homepage by Community♦ 5 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I found some confusion understanding the importance of vertical and horizontal stacks as a solution to the blind spot problem presented in the original pixel cnn architecture discussed in this paper. The vertical and horizontal stacks ideas were presented in the this paper.
Therefore, after browsing, I found this link to explain the concept.
In the vertical stack section of the web page, I still find that pixel f, still cannot see pixels c, d and e.
Any help is much appreciated!!
neural-network cnn
edited Feb 19 at 17:42
ebrahimi
74421022
asked Aug 29 '18 at 15:20
I. AI. A
13717
$endgroup$
bumped to the homepage by Community♦ 5 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
I don't think the paper is clearly written for people without experience with the old version of PixelCNN to understand the "horizontal" and "vertical" stacks... I feel I've wasted a day of my life for some irresponsible writing...
$endgroup$
– yuqli
Feb 28 at 2:52
add a comment |
$begingroup$
I found some confusion understanding the importance of vertical and horizontal stacks as a solution to the blind spot problem presented in the original pixel cnn architecture discussed in this paper. The vertical and horizontal stacks ideas were presented in the this paper.
Therefore, after browsing, I found this link to explain the concept.
In the vertical stack section of the web page, I still find that pixel f, still cannot see pixels c, d and e.
Any help is much appreciated!!
neural-network cnn
edited Feb 19 at 17:42
ebrahimi
74421022
asked Aug 29 '18 at 15:20
I. AI. A
13717
$endgroup$
I found some confusion understanding the importance of vertical and horizontal stacks as a solution to the blind spot problem presented in the original pixel cnn architecture discussed in this paper. The vertical and horizontal stacks ideas were presented in the this paper.
Therefore, after browsing, I found this link to explain the concept.
In the vertical stack section of the web page, I still find that pixel f, still cannot see pixels c, d and e.
Any help is much appreciated!!
neural-network cnn
neural-network cnn
edited Feb 19 at 17:42
ebrahimi
74421022
asked Aug 29 '18 at 15:20
I. AI. A
13717
edited Feb 19 at 17:42
ebrahimi
74421022
asked Aug 29 '18 at 15:20
I. AI. A
13717
edited Feb 19 at 17:42
ebrahimi
74421022
edited Feb 19 at 17:42
ebrahimi
74421022
edited Feb 19 at 17:42
ebrahimi
74421022
74421022
asked Aug 29 '18 at 15:20
I. AI. A
13717
asked Aug 29 '18 at 15:20
I. AI. A
13717
asked Aug 29 '18 at 15:20
I. AI. A
13717
13717
bumped to the homepage by Community♦ 5 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 5 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
I don't think the paper is clearly written for people without experience with the old version of PixelCNN to understand the "horizontal" and "vertical" stacks... I feel I've wasted a day of my life for some irresponsible writing...
$endgroup$
– yuqli
Feb 28 at 2:52
add a comment |
$begingroup$
I don't think the paper is clearly written for people without experience with the old version of PixelCNN to understand the "horizontal" and "vertical" stacks... I feel I've wasted a day of my life for some irresponsible writing...
$endgroup$
– yuqli
Feb 28 at 2:52
$begingroup$
I don't think the paper is clearly written for people without experience with the old version of PixelCNN to understand the "horizontal" and "vertical" stacks... I feel I've wasted a day of my life for some irresponsible writing...
$endgroup$
– yuqli
Feb 28 at 2:52
$begingroup$
I don't think the paper is clearly written for people without experience with the old version of PixelCNN to understand the "horizontal" and "vertical" stacks... I feel I've wasted a day of my life for some irresponsible writing...
$endgroup$
– yuqli
Feb 28 at 2:52
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
I also had the same problem when reading the paper, I believe it is not explicitly mentioned.
I think the whole image is padded with zeros on the top row when you are using the vertical stack. In this way, you ensure that the output of any pixel of row i will depend only on the pixels at row i-1 till row 0. But at the same time, you have the advantage of depth of field compositionality and remove the blind spot (given you are stacking enough convolutional layers).
answered Feb 19 at 9:21
ricvoricvo
11
$endgroup$
add a comment |
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$begingroup$
I also had the same problem when reading the paper, I believe it is not explicitly mentioned.
I think the whole image is padded with zeros on the top row when you are using the vertical stack. In this way, you ensure that the output of any pixel of row i will depend only on the pixels at row i-1 till row 0. But at the same time, you have the advantage of depth of field compositionality and remove the blind spot (given you are stacking enough convolutional layers).
answered Feb 19 at 9:21
ricvoricvo
11
$endgroup$
add a comment |
$begingroup$
I also had the same problem when reading the paper, I believe it is not explicitly mentioned.
I think the whole image is padded with zeros on the top row when you are using the vertical stack. In this way, you ensure that the output of any pixel of row i will depend only on the pixels at row i-1 till row 0. But at the same time, you have the advantage of depth of field compositionality and remove the blind spot (given you are stacking enough convolutional layers).
answered Feb 19 at 9:21
ricvoricvo
11
$endgroup$
add a comment |
$begingroup$
I also had the same problem when reading the paper, I believe it is not explicitly mentioned.
I think the whole image is padded with zeros on the top row when you are using the vertical stack. In this way, you ensure that the output of any pixel of row i will depend only on the pixels at row i-1 till row 0. But at the same time, you have the advantage of depth of field compositionality and remove the blind spot (given you are stacking enough convolutional layers).
answered Feb 19 at 9:21
ricvoricvo
11
$endgroup$
I also had the same problem when reading the paper, I believe it is not explicitly mentioned.
I think the whole image is padded with zeros on the top row when you are using the vertical stack. In this way, you ensure that the output of any pixel of row i will depend only on the pixels at row i-1 till row 0. But at the same time, you have the advantage of depth of field compositionality and remove the blind spot (given you are stacking enough convolutional layers).
answered Feb 19 at 9:21
ricvoricvo
11
edited Feb 19 at 22:30
answered Feb 19 at 9:21
ricvoricvo
11
answered Feb 19 at 9:21
ricvoricvo
11
answered Feb 19 at 9:21
ricvoricvo
11
11
add a comment |
add a comment |
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I don't think the paper is clearly written for people without experience with the old version of PixelCNN to understand the "horizontal" and "vertical" stacks... I feel I've wasted a day of my life for some irresponsible writing...
$endgroup$
– yuqli
Feb 28 at 2:52