Deep Learning for Computer Vision End Term 31 Aug 2025 — Question 20

Select all that apply.

1. A

   Weight change criterion is a method of ‘early stopping’ that checks whether or not the error is dropping over epochs to decide whether to continue training or stop.

2. B

   L1 norm tends to create more sparse weights than L2 norm.

3. C

   During the training phase, for each iteration, Dropout ignores a random fraction, p, of nodes, and accounts for it in the test phase by scaling down the activations by a factor of p.

4. D

   A single McCulloch-Pitts neuron is capable of modeling AND, OR, XOR, NOR, and NAND functions.