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MNIST accuracy comparison among several models. #2

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taeguk opened this issue Jul 24, 2016 · 0 comments

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taeguk commented Jul 24, 2016 •

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MNIST accuracy comparison among several models.

Source Codes

This experiment is progressed with source codes below.

https://github.com/taeguk/tensorflow-study/tree/ac39ab4afdd2115896050d8ec6264c1f4cc8efe2/MNIST

logistic-classification.py

Epochs	Accuracy
1	82.93%
2	85.29%
10	89.06%
30	90.83%
50	91.41%
100	91.93%
200	92.19%

dnn.py

Epochs	Accuracy
1	55.41%
2	80.01%
10	96.14%
20	97.31%
30	97.91%
40	98.06%
50	98.06%

cnn.py

Epochs	Accuracy
1	9.43%
2	10.28%
4	36.04%
5	85.64%
10	98.08%
20	99.24%
50	99.31%
100	99.43%
200	99.37%

rnn.py

I think my implementation may be incomplete..

Epochs	Accuracy
1	11.67%
11	16.44%
21	34.82%
31	60.53%
51	71.08%
101	75.32%
201	77.31%
500	77.81%

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