Deep Learning Unit 4 – Optimization & Generalization: important questions for AKTU
Unit 4 (Optimization & Generalization) questions that AKTU repeats most often. This unit carries about 34 marks per paper. Start with the repeated questions, then the most asked topics.
Most repeated Unit 4 questions
- Discuss the generalization in machine learning. (2 marks, 2026, Generalization in Neural Networks) – also asked in 2025
- What is generalization in deep learning? (2 marks, 2025, Generalization in Neural Networks) – also asked in 2026
- Explain the optimization problem in deep learning. Why are deep learning loss surfaces highly non-convex? Discuss with suitable diagrams. (7 marks, 2026, Optimization in Deep Learning)
Most important Unit 4 topic
- Optimization in Deep Learning (Unit 4: Optimization & Generalization) – asked 10 times in 2023, 2025, 2026
Most asked Unit 4 topics
- Optimization in Deep Learning – asked 10 times
- Recurrent Networks & LSTM – asked 6 times
- Generalization in Neural Networks – asked 3 times
More Unit 4 previous year questions
- Compare RNN, LSTM, and GRU networks. Highlight their advantages and use cases. (7 marks, 2026, Recurrent Networks & LSTM)
- What is deep reinforcement learning? Explain its architecture involving policy networks, value networks, and environment interaction. (7 marks, 2026, Deep Reinforcement Learning)
- Define non-convex optimization. (2 marks, 2025, Optimization in Deep Learning)
- Provide examples of optimization algorithms used for deep networks. (2 marks, 2025, Optimization in Deep Learning)
- Discuss the role of non-convex optimization in deep learning. (2 marks, 2025, Optimization in Deep Learning)
Unit 4 syllabus topics
- Optimization in Deep Learning
- Generalization in Neural Networks
- Spatial Transformer Networks
- Recurrent Networks & LSTM
- Deep Reinforcement Learning
- Computational & Artificial Neuroscience