Practice - Recurrent Neural Networks (RNNs) and LSTMs
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Practice Questions
Test your understanding with targeted questions
What does RNN stand for?
💡 Hint: Think about how it processes sequences.
Name one application of LSTMs.
💡 Hint: Consider where language or sequential data is involved.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does RNN stand for?
💡 Hint: It's about how the network 'repeats' over time.
True or False: LSTMs are better than RNNs at handling long sequences.
💡 Hint: Consider what happens to memory in RNNs.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a long sequence input, describe how an LSTM would process the information and retain crucial details relevant for tasks such as translation.
💡 Hint: Break down the role of each gate.
How would you modify a neural network model that is currently using only RNN for a long sequence prediction task to improve its performance?
💡 Hint: Think about the characteristics that LSTMs provide.
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