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1,244
[ 0, 0, 0, 1, 0, 0, 0, 0, 0, 0 ]
1515.png
0.02
0.2
[0.0, 0.0, 0.0, 0.9333333333333332, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06666666666666667, 0.0]
3
[0.0, 0.0, 0.0, 0.9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0]
[0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
train
mnist
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
1,397
[ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0 ]
27.png
0
0
[0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
2
[0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
[0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
train
mnist
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
1,409
[ 0, 0, 0, 1, 0, 0, 0, 0, 0, 0 ]
28.png
0
0
[0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
3
[0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
[0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
train
mnist
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
1,422
[ 0, 0, 0, 0, 0, 0, 0, 1, 0, 0 ]
30.png
0.016667
0.166667
[0.0, 0.13888888888888887, 0.0, 0.0, 0.0, 0.0, 0.0, 0.8611111111111112, 0.0, 0.0, 0.0]
7
[0.0, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.8333333333333334, 0.0, 0.0, 0.0]
[0.0, 0.08333333333333333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9166666666666666, 0.0, 0.0, 0.0]
train
mnist