12. Now consider the following plot of data. 1 y 0.5 + I 0.5 1 Draw a neural network with weight values that classifies all values correctly. You may use the following activation function. if z > 1 threshold(z) = −1 else

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.4: Linear Regression
Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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12.
Now consider the following plot of data.
1
y
0.5
+
I
0.5
1
Draw a neural network with weight values that classifies all values correctly. You may use the
following activation function.
if z > 1
threshold(z)
=
−1
else
Transcribed Image Text:12. Now consider the following plot of data. 1 y 0.5 + I 0.5 1 Draw a neural network with weight values that classifies all values correctly. You may use the following activation function. if z > 1 threshold(z) = −1 else
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