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How mean and deviation come out with MNIST dataset?
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I am a novice at the data science, and I notice some repository state the mean value and deviation in MNIST dataset are 0.1307 and 0.3081.
I cannot imagine how these two numbers come from. Based on my understanding, the MNIST dataset has 60,000 pics and each of them has (28 * 28 = 784) features. How do I convert this feature vectors to get the mean and deviation?
Especially, this should classify by the label, right? For example, the number 0 should have its mean and deviation. For number 1 should also have its mean and deviation.
neural-network multilabel-classification mnist
edited 2 hours ago
timleathart
2,284827
asked 4 hours ago
Coda ChangCoda Chang
1112
New contributor
Coda Chang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
I am a novice at the data science, and I notice some repository state the mean value and deviation in MNIST dataset are 0.1307 and 0.3081.
I cannot imagine how these two numbers come from. Based on my understanding, the MNIST dataset has 60,000 pics and each of them has (28 * 28 = 784) features. How do I convert this feature vectors to get the mean and deviation?
Especially, this should classify by the label, right? For example, the number 0 should have its mean and deviation. For number 1 should also have its mean and deviation.
neural-network multilabel-classification mnist
edited 2 hours ago
timleathart
2,284827
asked 4 hours ago
Coda ChangCoda Chang
1112
New contributor
Coda Chang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am a novice at the data science, and I notice some repository state the mean value and deviation in MNIST dataset are 0.1307 and 0.3081.
I cannot imagine how these two numbers come from. Based on my understanding, the MNIST dataset has 60,000 pics and each of them has (28 * 28 = 784) features. How do I convert this feature vectors to get the mean and deviation?
Especially, this should classify by the label, right? For example, the number 0 should have its mean and deviation. For number 1 should also have its mean and deviation.
neural-network multilabel-classification mnist
edited 2 hours ago
timleathart
2,284827
asked 4 hours ago
Coda ChangCoda Chang
1112
New contributor
Coda Chang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am a novice at the data science, and I notice some repository state the mean value and deviation in MNIST dataset are 0.1307 and 0.3081.
I cannot imagine how these two numbers come from. Based on my understanding, the MNIST dataset has 60,000 pics and each of them has (28 * 28 = 784) features. How do I convert this feature vectors to get the mean and deviation?
Especially, this should classify by the label, right? For example, the number 0 should have its mean and deviation. For number 1 should also have its mean and deviation.
neural-network multilabel-classification mnist
neural-network multilabel-classification mnist
edited 2 hours ago
timleathart
2,284827
asked 4 hours ago
Coda ChangCoda Chang
1112
New contributor
Coda Chang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 hours ago
timleathart
2,284827
asked 4 hours ago
Coda ChangCoda Chang
1112
New contributor
Coda Chang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 hours ago
timleathart
2,284827
edited 2 hours ago
timleathart
2,284827
edited 2 hours ago
timleathart
2,284827
2,284827
asked 4 hours ago
Coda ChangCoda Chang
1112
New contributor
Coda Chang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 hours ago
Coda ChangCoda Chang
1112
asked 4 hours ago
Coda ChangCoda Chang
1112
1112
New contributor
Coda Chang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Coda Chang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Coda Chang is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
1 Answer
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The repository is simply stating that amongst all features and all examples, the mean value is 0.1307 and the standard deviation is 0.3081. You can get these values yourself, if you have the mnist training set loaded into a numpy array called mnist, by simply evaluating the methods mnist.mean() and mnist.std().
answered 2 hours ago
timleatharttimleathart
2,284827
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1 Answer
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1 Answer
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$begingroup$
The repository is simply stating that amongst all features and all examples, the mean value is 0.1307 and the standard deviation is 0.3081. You can get these values yourself, if you have the mnist training set loaded into a numpy array called mnist, by simply evaluating the methods mnist.mean() and mnist.std().
answered 2 hours ago
timleatharttimleathart
2,284827
$endgroup$
add a comment |
$begingroup$
The repository is simply stating that amongst all features and all examples, the mean value is 0.1307 and the standard deviation is 0.3081. You can get these values yourself, if you have the mnist training set loaded into a numpy array called mnist, by simply evaluating the methods mnist.mean() and mnist.std().
answered 2 hours ago
timleatharttimleathart
2,284827
$endgroup$
add a comment |
$begingroup$
The repository is simply stating that amongst all features and all examples, the mean value is 0.1307 and the standard deviation is 0.3081. You can get these values yourself, if you have the mnist training set loaded into a numpy array called mnist, by simply evaluating the methods mnist.mean() and mnist.std().
answered 2 hours ago
timleatharttimleathart
2,284827
$endgroup$
The repository is simply stating that amongst all features and all examples, the mean value is 0.1307 and the standard deviation is 0.3081. You can get these values yourself, if you have the mnist training set loaded into a numpy array called mnist, by simply evaluating the methods mnist.mean() and mnist.std().
answered 2 hours ago
timleatharttimleathart
2,284827
answered 2 hours ago
timleatharttimleathart
2,284827
answered 2 hours ago
timleatharttimleathart
2,284827
answered 2 hours ago
timleatharttimleathart
2,284827
2,284827
add a comment |
add a comment |
Coda Chang is a new contributor. Be nice, and check out our Code of Conduct.
Coda Chang is a new contributor. Be nice, and check out our Code of Conduct.
Coda Chang is a new contributor. Be nice, and check out our Code of Conduct.
Coda Chang is a new contributor. Be nice, and check out our Code of Conduct.
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