Deep Learning Unit 5 – Case Studies & Applications: important questions for AKTU
Unit 5 (Case Studies & Applications) questions that AKTU repeats most often. This unit carries about 25 marks per paper. Start with the repeated questions, then the most asked topics.
Most repeated Unit 5 questions
- Explain the Word2Vec model. Discuss CBOW and Skip-Gram architectures with diagrams. (7 marks, 2026, NLP & Word2Vec)
- Describe the ImageNet dataset in detail. Explain its scale, structure, challenges, and importance in the evolution of deep learning. (7 marks, 2026, Image Classification & Detection)
- Explain how WaveNet differs from RNNs for sequential audio generation. (7 marks, 2026, Audio WaveNet)
Most important Unit 5 topic
- Audio WaveNet (Unit 5: Case Studies & Applications) – asked 5 times in 2025, 2026
Most asked Unit 5 topics
- Audio WaveNet – asked 5 times
- Image Classification & Detection – asked 4 times
- NLP & Word2Vec – asked 3 times
More Unit 5 previous year questions
- Describe the architecture and training of WaveNet for audio generation. (2 marks, 2025, Audio WaveNet)
- How deep learning models have revolutionized computer vision tasks? (2 marks, 2025, Image Classification & Detection)
- What is WaveNet, and why is it significant for audio generation? (2 marks, 2025, Audio WaveNet)
- What is Word2Vec? (2 marks, 2025, NLP & Word2Vec)
- Discuss the role of Word2Vec in natural language processing. (2 marks, 2025, NLP & Word2Vec)
Unit 5 syllabus topics
- Image Classification & Detection
- NLP & Word2Vec
- Audio WaveNet
- Face Recognition
- Image Captioning
- Bioinformatics