Hi everyone
I have a a question. This is related to this post.
I split the dataset into training(80%) set and testing set(20%). My loss function is MSE.  When I plot Training Loss curve and Validation curve, the loss curves, look fine. Its shows minimal gap between them.(Look at the pictures above)
But when I changed my loss function to RMSE and plotted the loss curves. There is a huge gap between training loss curve and validation loss curve.(epoch: 200 training loss: 0.0757. Test loss: 0.1079)
In my code, I only changed the loss function part(MSE to RMSE). I applied the Regularization techniques such as Batch Normalization and Dropout but still there is a big gap between the curves.
I’m new to deep learning, but do you know whats the reason why there is a huge gap between the curves when applying RMSE?
Is it something to do  with the Evaluation metric or something wrong in the coding part?
Thanks.
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