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Why is pooling used in CNNs?

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What is the purpose of Squeeze and Excitation Networks?

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Which of the following is a correct definition of "Valid" padding?

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What problem do residual connections help to solve?

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Why is it beneficial to use convolution operations on RGB images?

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Which of the following is NOT an advantage of CNNs over fully connected networks?

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What is the purpose of torch.nn.Conv2d in the code?

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What does kernel_size=(3,3) in nn.Conv2d specify?

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What would happen if we changed out_channels=1 to out_channels=4 in nn.Conv2d?

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What is the main difference between torch.tensor() and torch.Tensor() in PyTorch?

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