Which of the Following Is True of Training a Neural

Multiple Choice

Which of the following is true of training a neural network?

A) A neural network will stop training itself when it reaches a particular threshold or maximum run limits.
B) If a neural network is trained too much, the result is underfitting leading to underprediction.
C) A neural network is considered to be optimally trained when model prediction no longer improves.
D) If a neural network is not trained enough, the result will be overfitting of the model.