Understanding backprop for softmax
$begingroup$
I'm looking on a given solution of the first assignment of cs231n course.
Down below a snippet from the loss function.
I don't really understand lines 140-143
. Can you explain why dscores
(the derivative of scores
) is calculated like that?
neural-network deep-learning backpropagation cs231n
$endgroup$
bumped to the homepage by Community♦ 4 hours 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'm looking on a given solution of the first assignment of cs231n course.
Down below a snippet from the loss function.
I don't really understand lines 140-143
. Can you explain why dscores
(the derivative of scores
) is calculated like that?
neural-network deep-learning backpropagation cs231n
$endgroup$
bumped to the homepage by Community♦ 4 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
What isy
? andN
in conjunction tolim_scores
?
$endgroup$
– Matthieu Brucher
Dec 22 '18 at 21:04
add a comment |
$begingroup$
I'm looking on a given solution of the first assignment of cs231n course.
Down below a snippet from the loss function.
I don't really understand lines 140-143
. Can you explain why dscores
(the derivative of scores
) is calculated like that?
neural-network deep-learning backpropagation cs231n
$endgroup$
I'm looking on a given solution of the first assignment of cs231n course.
Down below a snippet from the loss function.
I don't really understand lines 140-143
. Can you explain why dscores
(the derivative of scores
) is calculated like that?
neural-network deep-learning backpropagation cs231n
neural-network deep-learning backpropagation cs231n
asked Dec 22 '18 at 17:18
yasecoyaseco
1061
1061
bumped to the homepage by Community♦ 4 hours 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♦ 4 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
What isy
? andN
in conjunction tolim_scores
?
$endgroup$
– Matthieu Brucher
Dec 22 '18 at 21:04
add a comment |
$begingroup$
What isy
? andN
in conjunction tolim_scores
?
$endgroup$
– Matthieu Brucher
Dec 22 '18 at 21:04
$begingroup$
What is
y
? and N
in conjunction to lim_scores
?$endgroup$
– Matthieu Brucher
Dec 22 '18 at 21:04
$begingroup$
What is
y
? and N
in conjunction to lim_scores
?$endgroup$
– Matthieu Brucher
Dec 22 '18 at 21:04
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Be aware that posting code in images very annoying to copy/paste and it's bad for web reference ment.
This is due to the derivative of the softmax, but to me it's seems fishy.
If $S$ is the softmax vector, then the Jacobian $DS$ consists of $S_j(delta_{ij}-S_i)$. This could explain the -=1
part, but not the /=N
, and not the shape either.
$endgroup$
add a comment |
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1 Answer
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1 Answer
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active
oldest
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$begingroup$
Be aware that posting code in images very annoying to copy/paste and it's bad for web reference ment.
This is due to the derivative of the softmax, but to me it's seems fishy.
If $S$ is the softmax vector, then the Jacobian $DS$ consists of $S_j(delta_{ij}-S_i)$. This could explain the -=1
part, but not the /=N
, and not the shape either.
$endgroup$
add a comment |
$begingroup$
Be aware that posting code in images very annoying to copy/paste and it's bad for web reference ment.
This is due to the derivative of the softmax, but to me it's seems fishy.
If $S$ is the softmax vector, then the Jacobian $DS$ consists of $S_j(delta_{ij}-S_i)$. This could explain the -=1
part, but not the /=N
, and not the shape either.
$endgroup$
add a comment |
$begingroup$
Be aware that posting code in images very annoying to copy/paste and it's bad for web reference ment.
This is due to the derivative of the softmax, but to me it's seems fishy.
If $S$ is the softmax vector, then the Jacobian $DS$ consists of $S_j(delta_{ij}-S_i)$. This could explain the -=1
part, but not the /=N
, and not the shape either.
$endgroup$
Be aware that posting code in images very annoying to copy/paste and it's bad for web reference ment.
This is due to the derivative of the softmax, but to me it's seems fishy.
If $S$ is the softmax vector, then the Jacobian $DS$ consists of $S_j(delta_{ij}-S_i)$. This could explain the -=1
part, but not the /=N
, and not the shape either.
answered Dec 22 '18 at 21:33
Matthieu BrucherMatthieu Brucher
61113
61113
add a comment |
add a comment |
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$begingroup$
What is
y
? andN
in conjunction tolim_scores
?$endgroup$
– Matthieu Brucher
Dec 22 '18 at 21:04