Question 14: Which of the following statements correctly describe the…

Select all that apply.

1. A

   It uses Inception modules that apply multiple filter sizes (1×1, 3×3, 5×5) in parallel to capture multi-scale features.

2. B

   It utilizes 1×1 convolutions as bottleneck layers to reduce dimensionality before computationally expensive operations.

3. C

   It incorporates Auxiliary Classifiers in intermediate layers to inject additional gradient signal and combat the vanishing gradient problem.

4. D

   It relies exclusively on stacking 3 × 3 filters to achieve its receptive field, similar to the VGGNet design philosophy.