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Rosenblatt's perceptron requires which of the following binary labels? ○ (0, 1) O {0, 1, 2} ○ (-1, 1) ○ {1, 2}

Rosenblatt's perceptron requires which of the following binary labels? ○ (0, 1) O {0, 1, 2} ○ (-1, 1) ○ {1, 2}

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Rosenblatt's perceptron requires which of the following binary labels? - ○ {0, 1} - ○ {0, 1, 2} - ○ {-1, 1} - ○ {1, 2}
Transcribed Image Text:Rosenblatt's perceptron requires which of the following binary labels? - ○ {0, 1} - ○ {0, 1, 2} - ○ {-1, 1} - ○ {1, 2}
**Question:** Rosenblatt's perceptron requires which of the following binary labels? **Options:** - ○ (0, 1) - ○ (0, 1, 2) - ○ (-1, 1) - ○ (1, 2) **Explanation:** This question is asking about the type of binary labels used by Rosenblatt's perceptron algorithm. The perceptron is a binary classifier, often using labels such as (0, 1) or (-1, 1) to represent the two classes. It is important to remember that binary classification means that the model distinguishes between two classes only. The other options provided have either three values or two positive values, which do not align with traditional binary classification schemes. Thus, the correct answer should reflect traditional binary values.
Transcribed Image Text:**Question:** Rosenblatt's perceptron requires which of the following binary labels? **Options:** - ○ (0, 1) - ○ (0, 1, 2) - ○ (-1, 1) - ○ (1, 2) **Explanation:** This question is asking about the type of binary labels used by Rosenblatt's perceptron algorithm. The perceptron is a binary classifier, often using labels such as (0, 1) or (-1, 1) to represent the two classes. It is important to remember that binary classification means that the model distinguishes between two classes only. The other options provided have either three values or two positive values, which do not align with traditional binary classification schemes. Thus, the correct answer should reflect traditional binary values.
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