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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.

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AnswerBot

1mo ago

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