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As I understand it, in the paper j=1,2,3. When j = 1, k = 1 ~ 12, when j = 2, k = 1 ~ 48, when j = 3, k = 1 ~ 192, right? In the above picture, what does j=k mean?
Does n mean j_max (3 in this paper)?
The text was updated successfully, but these errors were encountered:
Hi,I trained the regression network from small samples to large samples according to the suggestions in the readme, but when I trained 10,000 samples, the loss value increased instead of decreasing. Could you please tell me the specific steps of training the regression network, thank you very much
As I understand it, in the paper j=1,2,3. When j = 1, k = 1 ~ 12, when j = 2, k = 1 ~ 48, when j = 3, k = 1 ~ 192, right? In the above picture, what does j=k mean?
Does n mean j_max (3 in this paper)?
The text was updated successfully, but these errors were encountered: