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Perceptron algorithm depends on the learning rate?
2019 Community Moderator ElectionMultiple labels in supervised learning algorithmClassification with heavily overlapping data points of different labelsBuilt a Heap in Cluster algorithmPerceptron learning rateML algorithm for target minimisation?Which algorithm to apply for choosing the right pointPerceptron learning rate irrelevant in convergenceAre there any methods of supervised learning that return a bitmap instead of a set of parameters?Machine Learning Perceptron AlgorithmLearning rate of perception
$begingroup$
I am working on the problem above.
I know that by rescaling I can make η irrelavant.
But I do not know how exactly.
Is it making new vector, namely w' = w/η ?
Moreover, if I do this, would the final vector points to the same direction?
machine-learning perceptron learning-rate
New contributor
$endgroup$
add a comment |
$begingroup$
I am working on the problem above.
I know that by rescaling I can make η irrelavant.
But I do not know how exactly.
Is it making new vector, namely w' = w/η ?
Moreover, if I do this, would the final vector points to the same direction?
machine-learning perceptron learning-rate
New contributor
$endgroup$
add a comment |
$begingroup$
I am working on the problem above.
I know that by rescaling I can make η irrelavant.
But I do not know how exactly.
Is it making new vector, namely w' = w/η ?
Moreover, if I do this, would the final vector points to the same direction?
machine-learning perceptron learning-rate
New contributor
$endgroup$
I am working on the problem above.
I know that by rescaling I can make η irrelavant.
But I do not know how exactly.
Is it making new vector, namely w' = w/η ?
Moreover, if I do this, would the final vector points to the same direction?
machine-learning perceptron learning-rate
machine-learning perceptron learning-rate
New contributor
New contributor
New contributor
asked Mar 21 at 7:16
DavidDavid
1
1
New contributor
New contributor
add a comment |
add a comment |
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