Given an input image of 128x128, and output 29x29. What is the size of the area of the input that is middle...
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Given an input image of 128x128, after putting it through a convolutional neural network the output is 29x29. What is the size of the area (in pixels) of the input that correspond to the middle pixel in the output?
I was thinking it had to do with 128/29 = 4.4. Each pixel in the output corresponds to 4 pixels in the input but that doesn't get me near the right answer.
Thank you!
convolution machine-learning neural-networks
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add a comment |
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Given an input image of 128x128, after putting it through a convolutional neural network the output is 29x29. What is the size of the area (in pixels) of the input that correspond to the middle pixel in the output?
I was thinking it had to do with 128/29 = 4.4. Each pixel in the output corresponds to 4 pixels in the input but that doesn't get me near the right answer.
Thank you!
convolution machine-learning neural-networks
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You need to square that. How many pixels are in the input? How many in the output?
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– saulspatz
Jan 16 at 16:02
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the input image 128x128
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– RonaldB
Jan 16 at 16:22
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That's not what I meant. There are $128^2$ pixels in the input and $29^2$ in the output. Those are the numbers you need to be concerned with.
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– saulspatz
Jan 16 at 20:08
add a comment |
$begingroup$
Given an input image of 128x128, after putting it through a convolutional neural network the output is 29x29. What is the size of the area (in pixels) of the input that correspond to the middle pixel in the output?
I was thinking it had to do with 128/29 = 4.4. Each pixel in the output corresponds to 4 pixels in the input but that doesn't get me near the right answer.
Thank you!
convolution machine-learning neural-networks
$endgroup$
Given an input image of 128x128, after putting it through a convolutional neural network the output is 29x29. What is the size of the area (in pixels) of the input that correspond to the middle pixel in the output?
I was thinking it had to do with 128/29 = 4.4. Each pixel in the output corresponds to 4 pixels in the input but that doesn't get me near the right answer.
Thank you!
convolution machine-learning neural-networks
convolution machine-learning neural-networks
asked Jan 16 at 15:57
RonaldBRonaldB
868514
868514
$begingroup$
You need to square that. How many pixels are in the input? How many in the output?
$endgroup$
– saulspatz
Jan 16 at 16:02
$begingroup$
the input image 128x128
$endgroup$
– RonaldB
Jan 16 at 16:22
$begingroup$
That's not what I meant. There are $128^2$ pixels in the input and $29^2$ in the output. Those are the numbers you need to be concerned with.
$endgroup$
– saulspatz
Jan 16 at 20:08
add a comment |
$begingroup$
You need to square that. How many pixels are in the input? How many in the output?
$endgroup$
– saulspatz
Jan 16 at 16:02
$begingroup$
the input image 128x128
$endgroup$
– RonaldB
Jan 16 at 16:22
$begingroup$
That's not what I meant. There are $128^2$ pixels in the input and $29^2$ in the output. Those are the numbers you need to be concerned with.
$endgroup$
– saulspatz
Jan 16 at 20:08
$begingroup$
You need to square that. How many pixels are in the input? How many in the output?
$endgroup$
– saulspatz
Jan 16 at 16:02
$begingroup$
You need to square that. How many pixels are in the input? How many in the output?
$endgroup$
– saulspatz
Jan 16 at 16:02
$begingroup$
the input image 128x128
$endgroup$
– RonaldB
Jan 16 at 16:22
$begingroup$
the input image 128x128
$endgroup$
– RonaldB
Jan 16 at 16:22
$begingroup$
That's not what I meant. There are $128^2$ pixels in the input and $29^2$ in the output. Those are the numbers you need to be concerned with.
$endgroup$
– saulspatz
Jan 16 at 20:08
$begingroup$
That's not what I meant. There are $128^2$ pixels in the input and $29^2$ in the output. Those are the numbers you need to be concerned with.
$endgroup$
– saulspatz
Jan 16 at 20:08
add a comment |
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$begingroup$
You need to square that. How many pixels are in the input? How many in the output?
$endgroup$
– saulspatz
Jan 16 at 16:02
$begingroup$
the input image 128x128
$endgroup$
– RonaldB
Jan 16 at 16:22
$begingroup$
That's not what I meant. There are $128^2$ pixels in the input and $29^2$ in the output. Those are the numbers you need to be concerned with.
$endgroup$
– saulspatz
Jan 16 at 20:08