Receptive Field

The receptive field is a critical concept for understanding what portion of the input a neuron sees in a CNN and therefore the level of context on which it bases its decision. Early layers observe small regions, while deeper layers cover broader context. This growth enables the model to move from local edge patterns to global object representations. Architectural choices such as depth and filter size are directly tied to this concept.