21CS743
DL Model From the given content, deep learning can be explained in 2-3 points: Learning from Experience : Deep learning enables computers to learn and understand the world by gathering knowledge from experience, rather than requiring humans to manually specify all necessary information. Hierarchical Concept Building : It organizes concepts in a hierarchical structure, where complex concepts are built from simpler ones. Each layer in this hierarchy represents concepts in terms of the simpler ones below it. Layered Representation : The approach involves deep layers of concepts, allowing the computer to represent complex ideas (like recognizing an image of a person) by combining simpler features, such as edges, corners, and contours. A deep learning (DL) model can be explained as follows, based on the provided content: Layered Structure : A deep learning model maps raw sensory input data, like pixel values from an image, to an object identity by breaking down the task i...
