Aggregation-Cross-Entropy
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Use ACE loss for English handwriting recognition,but not converge
I use the ACE loss function to do English handwriting recognition. When the model is trained, it does not converge, but with CTC, it gets a good convergence effect. How can this happen?
setting a larger lr might work
I also find this problem in the training of crnn with synth90k dataset