Hello, I was just wondering as to the reason why the accuracy curve has a sudden drop in the shape? Is this a random phenomena, or can it be reproduced by retraining the U-net. Unfortunately, the time constraints forbids me from doing the latter. Could it be that the loss function got stuck in a local optima?
Thanks for your replies.
Hi soumdtt,
The accuracy curve I get looks like this:
It looks like something interfered with your results.
Hi reinoudbosch. I think that may be the most reasonable cause. Thanks for the answer.
Sharing my encounter for the future reference of the others.
I got the similar drop in my first run as well. I’m rather sure my code was correct so I restarted the kernel and reran a few times. I ended up with a “normal looking” curve afterwards.
The notebook (v2) doesn’t standardize a seed, including when shuffling the training set. So it may as well be an unlucky instance of randomization.
