CEC 424 Deep Learning Exam 2023

From this paper

1. 2.

   Which of the following statements about Dropout is true? a) Dropout randomly removes (deactivates) a fraction of neurons during each training step b) Dropout is only applied at test/inference time c) Dropout increases the number of trainable parameters of a layer d) Dropout can only be used with convolutional layers

2. 3.

   Which of the following statements about Batch Normalization is true? a) It normalizes the activations of a layer so they have (approximately) zero mean and unit variance, which speeds up and stabilizes training b) It can only be applied to the input layer of a network c) It removes the need for an activation function entirely d) It permanently deletes a fraction of the training examples