Question 11: Which of the following are advantages of ResNet over VGG…

Select all that apply.

1. A

   ResNet requires fewer parameters than VGG-19 while achieving higher accuracy.

2. B

   ResNet’s residual connections help mitigate vanishing gradients in very deep networks.

3. C

   On the CIFAR-10 dataset, ResNet achieves higher training and validation accuracy using significantly fewer convolutional layers than VGG-19.

4. D

   ResNet models can be trained with depths exceeding 100 layers without suffering from degradation problems.

5. E

   ResNet blocks require more memory and training time due to the skip connections compared to VGG-19.

6. F

   VGG-19 is easier to deploy on edge devices because of its lightweight residual architecture.