Thank you for your sharing.
When I try to train WDSRa on DIV2k by setting the number of wide residual blocks as 16, it works well with the loss of the first 100 iterations being about 15. However, when the number of wide residual blocks increases to 128, the loss of the first 100 iterations is about 2e8 and the PSNR evaluated on Set5 (x2) is about 18dB . I did not find the reason. So ask you, when the number of blocks increases, how to set the relevant hyperparameters? Thank you.
Thank you for your sharing. When I try to train WDSRa on DIV2k by setting the number of wide residual blocks as 16, it works well with the loss of the first 100 iterations being about 15. However, when the number of wide residual blocks increases to 128, the loss of the first 100 iterations is about 2e8 and the PSNR evaluated on Set5 (x2) is about 18dB . I did not find the reason. So ask you, when the number of blocks increases, how to set the relevant hyperparameters? Thank you.