Deep Learning (DL) SPPU Endsem Question Paper May 2025
All 8 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.
- Subject code
- 414443
- Pattern
- 2019 pattern
- Exam
- Endsem
- Session
- May 2025
- Max. marks
- 70
- Time
- 2½ Hours
- Semester
- VII
- Paper code
- [6404]-165
Printed for: B.E. (Information Technology)
Instructions to the candidates
- Answer Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6 and Q.7 or Q.8.
- Assume suitable data if necessary.
- Neat diagrams must be drawn wherever necessary.
- Figures to the right indicate full marks.
Questions
Q1
- a)[9]
Explain various types of Recurrent Neural Networks with architecture diagram and applications.
- b)[9]
Differentiate between RNN and FFNN.
OR- a)
Q2
- a)[9]
Explain Recursive Neural Networks with diagram and applications.
- b)[9]
Explain Long Short-Term Memory Network with suitable architectural diagram and application areas.
- a)
Q3
- a)[8]
What are encoders? Explain undercomplete auto encoder.
- b)[9]
What is regularized auto encoder? Where are they used?
Also asked:Nov 2025
OR- a)
Q4
- a)[8]
Write a short note on-Stochastic autoencoders and decoders.
- b)[9]
Differentiate between denoising auto encoder and contractive auto encoder.
- a)
Q5
- a)[9]
Write a short note on - DenseNet
- b)[9]
What is domain adapation? Explain with suitable example. 2
OR- a)
Q6
- a)[9]
What is transfer learning? Explain with suitable example.
- b)[9]
- a)
Q7
- a)[8]
- b)[9]
Explain deep learning-based framework for NLP.
ORQ8
- a)[8]
Explain the role of CNNs as an image classifier.
- b)[9]
- a)