LSTM and GRU — past-year questions
Deep Learning (CSC701) · Semester 7 · Module 5 · AIML & Data Science
8 past-year questions on LSTM and GRU have appeared in Mumbai University CSC701 papers between 2023–2026, 8 times in total. Every question is shown in full below with its marks and repeat count. Model answers require a free account.
Questions asked on LSTM and GRU
- 1.
Compare the performance of LSTM and GRU on long-sequence datasets. Which one would you choose for faster training and why?
10M1× seenlast asked 2026 - 2.
Differentiate between the LSTM and GRU network.
10M1× seenlast asked 2025 - 3.
Explain how Recurrent Neural Networks (RNNs) are suited for sequential data. Compare the standard RNN architecture with Long Short-Term Memory (LSTM) networks in terms of their ability to handle long-term dependencies. Provide a real-world application where using an LSTM would be significantly more beneficial than a simple RNN and justify your reasoning.
10M1× seenlast asked 2025 - 4.
Explain the LSTM network in detail.
10M1× seenlast asked 2025 - 5.
Differentiate between the architecture of LSTM and GRU network.
10M1× seenlast asked 2024 - 6.
Explain LSTM model, how it overcomes the limitation of RNN.
10M1× seenlast asked 2024 - 7.
Explain LSTM architecture.
10M1× seenlast asked 2023 - 8.
Explain Gated Recurrent Unit in detail.
10M1× seenlast asked 2023
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