21AI61 Dayananda Sagar University • CSE — Artificial Intelligence & Machine Learning (Semester 6)

Deep Learning and Neural Networks

💡 DSU Exam Strategy & Guidance

Feedforward Networks, Activation Functions (ReLU, Sigmoid, Softmax), Optimization (Adam, RMSProp), CNN Architectures (ResNet, VGG), and Sequence Models (RNN, LSTM, Transformers).

High-Yield Passing Strategy: Explain Transformer Self-Attention mechanism equations and draw ResNet skip-connection residual blocks.
Most Repeated Question Topics:
Self-Attention & Multi-Head Attention in TransformersResNet Residual Block ArchitectureOptimization Algorithms (SGD vs Adam vs RMSProp)Vanishing & Exploding Gradients Solutions (BatchNorm, LayerNorm)

📄 Previous Year Question Papers (1)

END_SEM • 2024

End Semester Exam 2024

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