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@MathiasGruber Thank you very much for your excellent code! I have come up against some problems when running your code in Step 3, about training UNet on single image. I've downloaded your pretrained VGG weights and put it in model. However, I found the loss decrease very slow, and the predicted image seems not right.
@MathiasGruber Thank you very much for your excellent code! I have come up against some problems when running your code in Step 3, about training UNet on single image. I've downloaded your pretrained VGG weights and put it in model. However, I found the loss decrease very slow, and the predicted image seems not right.
Epoch 1/10
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2000/2000 [==============================] - 1239s 619ms/step - loss: 5.1134 - PSNR: 11.9789
Epoch 2/10
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2000/2000 [==============================] - 1226s 613ms/step - loss: 2.8002 - PSNR: 16.5682
Epoch 3/10
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2000/2000 [==============================] - 1231s 616ms/step - loss: 2.2371 - PSNR: 19.1468
Is there some wrong with my implementation?
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