Consider the following two statements regarding model performance:
Statement 1: A model achieving zero training loss is guaranteed to perform well on unseen data. Statement 2: Incorporating a regularization term in the loss function may lead to higher training loss but lower generalization error.
Which of the following options is correct?
Consider the following two statements regarding model performance:\ **Statement 1:** A model achieving zero training loss is guaranteed to perform well on unseen data. **Statement 2:** Incorporating a regularization term in the loss function may lead to higher training loss but lower generalization error.\ Which of the following options is correct? How does unsupervised layerwise pretraining help in alleviating the vanishing gradient problem? Figure from the original question paper