Question 3: Which of the following statements accurately describes th…

Select all that apply.

1. A

   Activation maximization methods identify input image region that maximally activates specific neurons in the network.

2. B

   Filter visualization techniques display the learned weights of convolutional filters in the network.

3. C

   Kernel visualization involves directly observing the values of convolutional filters during network training.

4. D

   Principal Component Analysis (PCA) is commonly employed to reduce the dimensionality of feature maps for visualization purposes.