Course 2 week 1 Assignment: Cats vs Dogs. Target is 95% accuracy

That looks to me like overfitting. The model gets really good at minimizing the training loss. Too good. So good that it loses the ability to generalize to the validation set. Here’s an example graph I found on the interweb…

You can search on ‘graph model overfitting’ to find related images and articles.