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Q1: Neural Networks
Explain backpropagation in deep learning and how gradients are computed.
Q2: CNNs
What are convolutional layers used for in image recognition?
Q1: Activation Functions
Compare ReLU and Sigmoid functions and their use cases in neural networks.
Q2: Overfitting
How does dropout prevent overfitting during model training?
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