Working of Deep Learning — past-year questions
AI and DS – II (ITC701) · Semester 7 · Module 4 · IT
6 past-year questions on Working of Deep Learning have appeared in Mumbai University ITC701 papers between 2024–2026, 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 Working of Deep Learning
- 1.
Compare between ANN and RNN.
5M2× seenlast asked 2025 - 2.
Explain Architecture of CNN in detail. List any two applications of it
10M2× seenlast asked 2025 - 3.
What is all the objective of using LSTM? Explain its architecture.
10M1× seenlast asked 2026 - 4.
What are all the objectives of using LSTM? Explain its architecture.
10M1× seenlast asked 2025 - 5.
Describe the architecture of a typical CNN. What are the main components, and how do they contribute to the network's performance in image recognition tasks?
10M1× seenlast asked 2024 - 6.
Explain in detail the Long Short-Term Memory Network with an example.
10M1× seenlast asked 2024
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