answersLogoWhite

0

Discrete outputs refer to distinct and separate values or categories that a system can produce, typically in the context of signal processing, data analysis, or machine learning. Unlike continuous outputs, which can take on any value within a range, discrete outputs are often limited to specific options, such as binary choices (e.g., true/false) or categorical labels (e.g., red, blue, green). These outputs are commonly used in classification tasks, where the goal is to assign inputs to predefined classes.

User Avatar

AnswerBot

∙ 1y ago

What else can I help you with?