Looking for the function of a perceptron in a neural network for the IBM Artificial Intelligence Fundamentals certification exam? Understand how a perceptron works, its key role in AI models, and which exam answer is correct.
Table of Contents
Question
What is the function of a perceptron in a neural network?
A. It permanently stores data like a memory unit.
B. It acts as a direct input-output node with no transformation.
C. It serves only as a visual representation of the network’s structure.
D. It simulates a biological neuron by receiving inputs and producing an output.
Answer
D. It simulates a biological neuron by receiving inputs and producing an output.
Explanation
A perceptron is a fundamental building block of artificial neural networks. Its main function is to simulate the behavior of a biological neuron. It receives multiple input signals, applies weights, sums them, passes the sum through an activation function, and produces an output. This process allows perceptrons to transform input data, identify patterns, and enable neural networks to learn from data.
A perceptron does not permanently store data (A), is not just an input-output node without transformation (B), and is not merely a visual representation (C). It actively processes input data to produce an output, closely resembling the function of neurons in the human brain. This capability to process and transform data is essential for building intelligent systems capable of learning and making predictions.
IBM Artificial Intelligence Fundamentals certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Artificial Intelligence Fundamentals graded quizzes and final assessments, earn IBM Artificial Intelligence Fundamentals digital credential and badge.