Explore how concept learning infers a valued function from input and output examples. Learn why Boolean is the correct choice for CNN certification exams.
Table of Contents
Question
Concept learning inferred a valued function from training examples of its input and output.
A. Decimal
B. Hexadecimal
C. Boolean
D. All of the above
Answer
C. Boolean
Explanation
Concept learning focuses on deriving a valued function from input-output training examples to generalize over unseen data. This approach involves mapping inputs (features) to their corresponding outputs (labels) through a defined function. In this context:
- Decimal and Hexadecimal: These represent numerical systems often used in computational tasks, not in the classification or evaluation of concept learning.
- Boolean: Concept learning frequently utilizes a Boolean function, especially in tasks requiring classification where outputs are true/false, yes/no, or binary (e.g., 0 and 1). Boolean logic forms the foundation of decision-making in machine learning models.
Thus, the correct answer is C. Boolean, as it aligns with the fundamental principle of binary decision-making in concept learning within neural network frameworks.
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