Does MNIST generalise to european handwriting?
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I want to use the MNIST dataset to teach my neural network to recognise numbers. My problem is: The data I am working with is "european". What i mean by that is: the seven always has a dash (it often has a dash in MNIST too so that is more unlikely to cause a problem) and more importantly: the 1 is always written with this hook in Europe, whereas Americans tend to use a straight line (almost 100% of MNIST 1s are a straight line). So it seems to me that training on MNIST can cause problems. Have you ever ran into that problem? And if so, how did you solve it? I haven't found good solutions online.
classification mnist
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$begingroup$
I want to use the MNIST dataset to teach my neural network to recognise numbers. My problem is: The data I am working with is "european". What i mean by that is: the seven always has a dash (it often has a dash in MNIST too so that is more unlikely to cause a problem) and more importantly: the 1 is always written with this hook in Europe, whereas Americans tend to use a straight line (almost 100% of MNIST 1s are a straight line). So it seems to me that training on MNIST can cause problems. Have you ever ran into that problem? And if so, how did you solve it? I haven't found good solutions online.
classification mnist
New contributor
$endgroup$
add a comment |
$begingroup$
I want to use the MNIST dataset to teach my neural network to recognise numbers. My problem is: The data I am working with is "european". What i mean by that is: the seven always has a dash (it often has a dash in MNIST too so that is more unlikely to cause a problem) and more importantly: the 1 is always written with this hook in Europe, whereas Americans tend to use a straight line (almost 100% of MNIST 1s are a straight line). So it seems to me that training on MNIST can cause problems. Have you ever ran into that problem? And if so, how did you solve it? I haven't found good solutions online.
classification mnist
New contributor
$endgroup$
I want to use the MNIST dataset to teach my neural network to recognise numbers. My problem is: The data I am working with is "european". What i mean by that is: the seven always has a dash (it often has a dash in MNIST too so that is more unlikely to cause a problem) and more importantly: the 1 is always written with this hook in Europe, whereas Americans tend to use a straight line (almost 100% of MNIST 1s are a straight line). So it seems to me that training on MNIST can cause problems. Have you ever ran into that problem? And if so, how did you solve it? I haven't found good solutions online.
classification mnist
classification mnist
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asked 2 hours ago
tömmeltömmel
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