Deep Learning Unit 5 Notes AKTU (BAI701)

Unit 5: Case Studies & Applications – AKTU syllabus topics

• Image Classification & Detection
• NLP & Word2Vec
• Audio WaveNet
• Face Recognition
• Image Captioning
• Bioinformatics

Most asked AKTU PYQ questions from Unit 5

1. Q7a. Provide a detailed overview of deep learning-based techniques for audio detection. How does WaveNet outperform traditional methods? (10 marks, 2024-25)
2. Q2e. Discuss the pipeline of scene understanding using deep learning models. How does this pipeline handle challenges like occlusion and varying lighting conditions? (10 marks, 2024-25)
3. Q7b. Describe the process of joint detection and captioning in image captioning systems. How does attention enhance this process? (10 marks, 2024-25)
4. Q2e. Analyze the applications of deep learning in bioinformatics. Provide examples of how neural networks are used for tasks like protein structure prediction. (10 marks, 2024-25)
5. Q7b. Explain the architecture of a deep learning model used for face recognition. How does it ensure robustness against variations in pose and illumination? (10 marks, 2024-25)
6. Q7b. Explain how semantic segmentation helps in scene understanding. (10 marks, 2024-25)
7. Q2e. Describe the role of deep learning in bioinformatics applications. (10 marks, 2024-25)
8. Q7a. Describe how attention mechanisms improve the performance of image captioning models. (10 marks, 2024-25)
9. Q2e. Explain Image Captioning in Deep Learning. (10 marks, 2022-23)
10. Q7a. Demonstrate how the privacy will be affected when facial recognition gets used by private companies? (10 marks, 2022-23)

Other Deep Learning units

• Unit 1 Notes
• Unit 2 Notes
• Unit 3 Notes
• Unit 4 Notes

Deep Learning previous year papers

• PYQ 2025-26
• PYQ 2024-25 (KCS078)
• PYQ 2024-25 (KOT076)
• PYQ 2022-23

Deep Learning exam preparation

• Deep Learning Unit 5 Important Questions
• Deep Learning Unit 5 PYQ
• Deep Learning Important Topics
• Deep Learning Predicted Paper