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How do two perceptrons produce different linear decision boundaries?
$begingroup$
I understand that a perceptron produces a decision boundary separating one class from another. Then a second one is used to get a different decision boundary so that regions are formed to separate non-linearly separable data. But what i don't understand is how does a second perceptron create a different decision boundary when it has the same features as input as the first perceptron received? I know the weights can be initialized differently but does this second perceptron classify something else? Shouldn't the decision boundaries be roughly the same?
neural-network logistic-regression perceptron classifier
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asharashar
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add a comment |
$begingroup$
I understand that a perceptron produces a decision boundary separating one class from another. Then a second one is used to get a different decision boundary so that regions are formed to separate non-linearly separable data. But what i don't understand is how does a second perceptron create a different decision boundary when it has the same features as input as the first perceptron received? I know the weights can be initialized differently but does this second perceptron classify something else? Shouldn't the decision boundaries be roughly the same?
neural-network logistic-regression perceptron classifier
asked 2 mins ago
asharashar
1
New contributor
ashar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I understand that a perceptron produces a decision boundary separating one class from another. Then a second one is used to get a different decision boundary so that regions are formed to separate non-linearly separable data. But what i don't understand is how does a second perceptron create a different decision boundary when it has the same features as input as the first perceptron received? I know the weights can be initialized differently but does this second perceptron classify something else? Shouldn't the decision boundaries be roughly the same?
neural-network logistic-regression perceptron classifier
asked 2 mins ago
asharashar
1
New contributor
ashar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I understand that a perceptron produces a decision boundary separating one class from another. Then a second one is used to get a different decision boundary so that regions are formed to separate non-linearly separable data. But what i don't understand is how does a second perceptron create a different decision boundary when it has the same features as input as the first perceptron received? I know the weights can be initialized differently but does this second perceptron classify something else? Shouldn't the decision boundaries be roughly the same?
neural-network logistic-regression perceptron classifier
neural-network logistic-regression perceptron classifier
asked 2 mins ago
asharashar
1
New contributor
ashar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
asharashar
1
New contributor
ashar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
asharashar
1
New contributor
ashar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 mins ago
asharashar
1
asked 2 mins ago
asharashar
1
1
New contributor
ashar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
ashar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
ashar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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