Question 10
A CNN produces an output feature map of size 7x7x512, which is followed by Global Average Pooling (GAP) and then a fully connected layer with 10 output classes. Which of the following statements is correct?
GAP converts the feature map into a 49 × 512 vector before classification
GAP produces a 512-dimensional vector, resulting in 5120 trainable parameters in the final layer
GAP produces a 7 × 7 × 1 feature map, followed by a 10-unit fully connected layer
GAP increases the number of parameters compared to flattening