Practice Recurrent Neural Networks (rnns) And Lstms (3)

Practise this section

9 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What does RNN stand for?
Show hintHide hint
Think about how it processes sequences.
Question 2.
Name one application of LSTMs.
Show hintHide hint
Consider where language or sequential data is involved.
3Question 3.
What does RNN stand for?
Show hintHide hint
It's about how the network 'repeats' over time.
4Question 4.
True or False: LSTMs are better than RNNs at handling long sequences.
- True
- False
Show hintHide hint
Consider what happens to memory in RNNs.
Question 5.
Given a long sequence input, describe how an LSTM would process the information and retain crucial details relevant for tasks such as translation.
Show hintHide hint
Break down the role of each gate.
Question 6.
How would you modify a neural network model that is currently using only RNN for a long sequence prediction task to improve its performance?
Show hintHide hint
Think about the characteristics that LSTMs provide.

5 more questions in this section. Enroll free to practise them all.