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Playing with the Birds dataset from Caltech. It seems going to be challenging, there is 200 bird classes each a dozen pictures. With the simple 4 cycles training of ResNet-34, I got very bad results:

Total time: 12:08
epoch  train_loss  valid_loss  error_rate
1      3.650673    2.174252    0.521866    (03:07)
2      1.836933    1.261172    0.349438    (03:08)
3      1.250030    1.025832    0.284881    (02:55)
4      0.989510    0.987043    0.269888    (02:57)

Here is the top losses:

The confusion matrix is not even readable with all the 200 categories:


This is going to be challenging but love it, thanks so much @jeremy for this wonderful journey!

code repo

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