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I constructed a residual neural network. The model input image and output image. When the model is used, it is an autoregressive method. However, my model generalization ability is very poor. Is there any way to improve the model generalization... |
Thank you, the results are indeed reasonable. |
Thanks! I modified this according to your suggestions,Sres, Ires, Rres are the loss of physical information,I think this example is more complicated and may not be easy to understand |
![enter image description here][1] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20240202203605.png&userId=3065163 |
Hi Gianluca and thanks for sharing this! One question: Why do you use shared Weight of NetArray in LinearLayer? |