A. A feature map is a set of filtered and transformed inputs that are learned by ConvNet's convolutional layer. A feature map can be thought of as an abstract representation of an input image, where each unit or neuron in the map corresponds to a specific feature detected in the image, such as an edge, corner, or texture pattern.