I have one more question about "train objective" and "val objective" in result after training by running "train_SRnet.m"

[star4s]

I have one more question about "train objective" and "val objective" in result after training by running "train_SRnet.m"

After I take training by running "train_SRnet.m", I got a bottom graph image.

What meaning is the gap between "train objective" and "val objective"? The "train objective" blue line is bottom against the "val objective" red line over epoch 3. I am so sorry every time, I am bother you. Thank you very much for your attention.

[layumi]

1. Train: CNN use the training data to tune the parameters so it usually over-fits the training set. (show a lower loss value)
2. Validation: CNN did not see the validation data before. The validation result can reflect the "real" situation in the test setting. So it usually achieves a little bit higher loss.