Questions and Exercises

1. What is the kernel size in a convolutional layer?

   a) The area summarized by a statistical value

   b) The size of the matrix moving across an image

   c) The number of pixels to shift the matrix

   d) The size of the area used by a layer

2. What is a pooling layer?

   a) A pooling layer is a commonly used layer in RNNs

   b) A pooling layer summarizes an area with a statistical value

   c) A pooling layer is a commonly used layer in feedforward networks

   d) A pooling layer can be used to upsample images

3. When is transfer learning helpful?

   a) To transfer data to another system

   b) If no model is available

   c) If not enough labeled data is available

   d) To compare different models