Deep Learning (BAI701) important questions and topics for AKTU
These are ranked by how often AKTU repeats them across 5 papers. Repeated questions and "very likely" topics are the safest marks in the exam.
Most repeated Deep Learning questions
- Explain the concept of semi-supervised learning with examples. Compare it with supervised and unsupervised learning. (7 marks, 2026, Semi-supervised Learning) – also asked in 2025
- How does semi-supervised learning differ from supervised and unsupervised learning? Discuss its application in training deep networks with limited labeled data. (10 marks, 2025, Semi-supervised Learning) – also asked in 2026
- Discuss convolutional neural network (CNN)? (2 marks, 2026, Convolutional Networks) – also asked in 2025
- Discuss the generalization in machine learning. (2 marks, 2026, Generalization in Neural Networks) – also asked in 2025
- Discuss the role of convolutional layers in Convolutional Neural Networks. (2 marks, 2025, Convolutional Networks) – also asked in 2026
High-probability Deep Learning topics
- Training a Network (Loss, Backprop, SGD) (Unit 1: Introduction to Neural Networks) – asked 10 times in 2023, 2025, 2026
- Optimization in Deep Learning (Unit 4: Optimization & Generalization) – asked 10 times in 2023, 2025, 2026
- Convolutional Networks (Unit 2: Deep Networks) – asked 9 times in 2023, 2025, 2026