• Attempt any five questions.
• All questions carry equal marks.
What s the significance of gradient descent in training deep ! learning models? Discuss various optimization algorithms including AdaGrad, RMSProp, and Adam.
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Discuss the concept of greedy layerwise pre-training. What are some better activation functions introduced in recent years? : .
How do visualization techniques like Deep Dream and Guided Backpropagation help in understanding neural networks?
Define the Policy Gradient method in reinforcement learning. How does it differ from Q-learning?
Discuss recent trends in reinforcement learning architectures, including Generative Adversarial Imitation Learning. Rewrite aff anita ger & warm! ox af wrt RIE YeaRiRae aren aif anf 1 Hook
