Also, it distracts from the UI and brings focus to the data, instead. Fortunately, there are some libraries that can solve this problem for you by allowing you to generate all sorts of test data at ...

But at some point, the model starts to overfit, and while the loss on training data keeps falling, the test data’s loss starts to rise. So, typically, that’s when researchers stop training the network ...