A single-layer neural network is to have six inputs and two out- puts. The outputs are to be limited to and continuous over the range 0 to 1. What can you tell about the network architecture? Specifically: i. How many neurons are required? ii. What are the dimensions of the weight matrix? iii. What kind of transfer functions could be used? iv. Is a bias required?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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A single-layer neural network is to have six inputs and two out-
puts. The outputs are to be limited to and continuous over the
range 0 to 1. What can you tell about the network architecture?
Specifically:
i. How many neurons are required?
ii. What are the dimensions of the weight matrix?
iii. What kind of transfer functions could be used?
iv. Is a bias required?
Transcribed Image Text:A single-layer neural network is to have six inputs and two out- puts. The outputs are to be limited to and continuous over the range 0 to 1. What can you tell about the network architecture? Specifically: i. How many neurons are required? ii. What are the dimensions of the weight matrix? iii. What kind of transfer functions could be used? iv. Is a bias required?
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