AD-601 RGPV B.Tech
Deep Learning (DL)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
4 papers, latest Jun 2025
Syllabus, notes and important questions for AD-601
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction to Deep Learning 6 topics
- Biological Neuron
- Idea of computational units
- McCulloch–Pitts Neural Model
- Linear Perceptron
- Perceptron Learning
- Feed Forward and Back Propagation Networks
Unit 2 Feedforward Networks 6 topics
- Multilayer Perceptron
- Gradient Descent
- Backpropagation
- Empirical Risk Minimization
- Regularization
- Autoencoders
Unit 3 Convolutional Networks 7 topics
- Convolution Operation
- Variants of the Basic Convolution Function
- Structured Outputs
- Efficient Convolution Algorithms
- Random or Unsupervised Features
- LeNet
- AlexNet
Unit 4 Recurrent Neural Networks 5 topics
- Bidirectional RNNs
- Deep Recurrent Networks
- Recursive Neural Networks
- Long Short-Term Memory (LSTM)
- Other Gated RNNs
Unit 5 Deep Generative Models 6 topics
- Boltzmann Machines
- Restricted Boltzmann Machines
- MCMC and Gibbs Sampling
- Gradient Computations in RBMs
- Deep Belief Networks
- Deep Boltzmann Machines
Exam insights
Counted from 3 past AD-601 papers.
Marks asked per paper, by unit
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Unit 1 Introduction to Deep Learning 14 marks
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Unit 2 Feedforward Networks 23 marks
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Unit 3 Convolutional Networks 33 marks
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Unit 4 Recurrent Neural Networks 14 marks
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Unit 5 Deep Generative Models 16 marks
Average marks of the questions from each unit in one paper. You answer only some of them, so the total is more than the paper’s maximum.
Asked again and again
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Explain the convolution operation in CNNs, its significance, and how it captures spatial features / why CNNs are used in deep learning
Asked 3 times: 2025, 2024, 2023
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Explain linear / single-layer perceptron and multilayer perceptron (MLP) in detail, and how MLP overcomes the limitations of single-layer perceptrons.
Asked 2 times: 2025, 2024
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What is Long Short Term Memory in Neural Network? Explain.
Asked 2 times: 2025, 2024