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Pixel-by-pixel Classification on MNIST Unpermuted (test)
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99.2
Accuracy (Test)
Dilated GRU
47.096
60.623
74.15
87.677
Oct 5, 2017
Accuracy (Test)
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy (Test)
Dilated GRU
# layers=9, hidden / l...
2017.10
99.2
GRU
# layers=1, hidden / l...
2017.10
99.1
Dilated GRU
# layers=9, hidden / l...
2017.10
99
Dilated LSTM
# layers=9, hidden / l...
2017.10
98.9
Dilated LSTM
# layers=9, hidden / l...
2017.10
98.9
GRU
# layers=9, hidden / l...
2017.10
98.8
LSTM
# layers=9, hidden / l...
2017.10
98.7
Dilated CNN
# layers=10, hidden /...
2017.10
98.3
LSTM
# layers=1, hidden / l...
2017.10
98.2
Skipped RNN
# layers=1, hidden / l...
2017.10
98.1
Dilated CNN
# layers=10, hidden /...
2017.10
98
Dilated Vanilla
# layers=9, hidden / l...
2017.10
98
Dilated Vanilla
# layers=9, hidden / l...
2017.10
97.7
Full uRNN
# layers=1, hidden / l...
2017.10
97.5
IRNN
# layers=1, hidden / l...
2017.10
97
Zoneout
# layers=1, hidden / l...
2017.10
93.1
Skipped RNN
# layers=9, hidden / l...
2017.10
85.4
Vanilla RNN
# layers=9, hidden / l...
2017.10
49.1
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