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Hi, @jia-zhuang , I also met the same problem when training my 1-D signal.
I tried many ways to adjust the parameters in my model-gc.json and reshape my input data, but the performance didn't seem to improve...
Have you got some simple solution?
For image features, e.g. 28x28, we can use FGWinLayer, what about sequence features, e.g. len=200, how to config gc.json file?
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