Deep Learning Intermediate Quiz 2

1. What does the “vanishing gradient” problem usually cause?

2. What is the main purpose of an embedding layer?

3. Which loss function is commonly used for multi-class classification?

4. What is “fine-tuning” in transfer learning?

5. Which technique can help a model generalize better to new data?

6. In deep learning, what is an epoch?

7. What is the main purpose of an RNN’s hidden state?

8. Which type of neural network is typically best for image data?

9. What is the main purpose of the softmax activation function?

10. Which optimizer explicitly uses momentum to speed up learning?