How to calculate receptive field size for -ception model?
0
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I have a full convolution model like this:
conv1(1x1, padding=valid)(input)
conv2(1x1, padding=valid)(input)
conv3(3x3, padding=same)(conv2)
out = Concatenate(conv1, conv3)
How to calculate receptive field size?
neural-network deep-learning convolution inception
edited yesterday
Simon Larsson
780114
asked yesterday
DepthDepth
11
New contributor
Depth is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
0
$begingroup$
I have a full convolution model like this:
conv1(1x1, padding=valid)(input)
conv2(1x1, padding=valid)(input)
conv3(3x3, padding=same)(conv2)
out = Concatenate(conv1, conv3)
How to calculate receptive field size?
neural-network deep-learning convolution inception
edited yesterday
Simon Larsson
780114
asked yesterday
DepthDepth
11
New contributor
Depth is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
read this article: medium.com/mlreview/…
$endgroup$
– SoK
yesterday
add a comment |
0
0
0
$begingroup$
I have a full convolution model like this:
conv1(1x1, padding=valid)(input)
conv2(1x1, padding=valid)(input)
conv3(3x3, padding=same)(conv2)
out = Concatenate(conv1, conv3)
How to calculate receptive field size?
neural-network deep-learning convolution inception
edited yesterday
Simon Larsson
780114
asked yesterday
DepthDepth
11
New contributor
Depth is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a full convolution model like this:
conv1(1x1, padding=valid)(input)
conv2(1x1, padding=valid)(input)
conv3(3x3, padding=same)(conv2)
out = Concatenate(conv1, conv3)
How to calculate receptive field size?
neural-network deep-learning convolution inception
neural-network deep-learning convolution inception
edited yesterday
Simon Larsson
780114
asked yesterday
DepthDepth
11
New contributor
Depth is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
Simon Larsson
780114
asked yesterday
DepthDepth
11
New contributor
Depth is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
Simon Larsson
780114
edited yesterday
Simon Larsson
780114
edited yesterday
Simon Larsson
780114
780114
asked yesterday
DepthDepth
11
New contributor
Depth is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
DepthDepth
11
asked yesterday
DepthDepth
11
11
New contributor
Depth is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Depth is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Depth is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
read this article: medium.com/mlreview/…
$endgroup$
– SoK
yesterday
add a comment |
$begingroup$
read this article: medium.com/mlreview/…
$endgroup$
– SoK
yesterday
$begingroup$
read this article: medium.com/mlreview/…
$endgroup$
– SoK
yesterday
$begingroup$
read this article: medium.com/mlreview/…
$endgroup$
– SoK
yesterday
add a comment |
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$begingroup$
read this article: medium.com/mlreview/…
$endgroup$
– SoK
yesterday