Deep Learning, Quiz 2

September 2025 term, 23 Nov 2025, Set QIA2

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Question 1

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Select one option

• A.

  Choose , since it gives the lowest training loss and allows the model to fit the data best.

• B.

  Choose , as it provides a reasonable compromise between model complexity and generalization.

• C.

  Choose , since it yields the lowest validation loss and achieves the best bias–variance trade-off.

• D.

  Choose , as it produces a highly regularized model that minimizes the risk of overfitting.

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Figure from the original question paper Consider a neural network as shown in the figure with 2 input neurons, a hidden layer with 2 neurons (ReLU), and 1 output neuron (sigmoid).\ Weights are: Figure from the original question paper with no biases. Dropout probability is 0.5 on the hidden layer.\ If the input vector is fed to this network, what is the expected output while testing? Figure from the original question paper Which of the following statements are true about a Convolutional (CONV) layer?