detect simple patterns like edges, textures, or blobs. Intermediate layers combine these into more complex shapes.
: Deep learning models build these features in stages: 78E0C7C5-B8A7-4FE7-A739-9592B5DB499F.jpeg
represent high-level concepts or objects (e.g., a "wheel" or a "face"). detect simple patterns like edges, textures, or blobs
Isolated Convolutional-Neural-Network-Based Deep-Feature ... - MDPI detect simple patterns like edges
In the context of computer vision and image processing, a is an abstract representation of data learned by a neural network, specifically within the intermediate or "hidden" layers of a deep learning model. Key Characteristics