Context: please provide short answer of following question
Question: List and explain the key hyperparameters of a convolutional layer.
Answer: The four key hyperparameters of a convolutional layer are: 1) Number of filters (K): Determines how many features the layer will learn; 2) Filter size (F): Refers to the dimensions of the filters (e.g., 3x3); 3) Zero padding (P): Adds extra pixels around the image borders to maintain size; and 4) Stride (S): Defines how much the filter shifts across the image.