I can not compute why classification doesn't disturb for first training examples by perceptron algorithm? [on...
$begingroup$
In perceptron algorithm we adopt weights by training data. This process continues till we don't have any data. My question is that why the adopted weights work without wrong for first training data? I mean I can not compute the validation.
machine-learning algorithms perceptron
asked 14 hours ago
Amir MachineAmir Machine
11
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Amir Machine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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put on hold as unclear what you're asking by Sean Owen♦ 8 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
$begingroup$
In perceptron algorithm we adopt weights by training data. This process continues till we don't have any data. My question is that why the adopted weights work without wrong for first training data? I mean I can not compute the validation.
machine-learning algorithms perceptron
asked 14 hours ago
Amir MachineAmir Machine
11
New contributor
Amir Machine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
put on hold as unclear what you're asking by Sean Owen♦ 8 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
$begingroup$
It's not clear what you are asking. Do you mean 'adapt'? Are you asking why the model isn't good after the first data point? why can't you compute training error?
$endgroup$
– Sean Owen♦
8 hours ago
add a comment |
$begingroup$
In perceptron algorithm we adopt weights by training data. This process continues till we don't have any data. My question is that why the adopted weights work without wrong for first training data? I mean I can not compute the validation.
machine-learning algorithms perceptron
asked 14 hours ago
Amir MachineAmir Machine
11
New contributor
Amir Machine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
In perceptron algorithm we adopt weights by training data. This process continues till we don't have any data. My question is that why the adopted weights work without wrong for first training data? I mean I can not compute the validation.
machine-learning algorithms perceptron
machine-learning algorithms perceptron
asked 14 hours ago
Amir MachineAmir Machine
11
New contributor
Amir Machine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 14 hours ago
Amir MachineAmir Machine
11
New contributor
Amir Machine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 14 hours ago
Amir MachineAmir Machine
11
New contributor
Amir Machine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 14 hours ago
Amir MachineAmir Machine
11
asked 14 hours ago
Amir MachineAmir Machine
11
11
New contributor
Amir Machine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Amir Machine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Amir Machine is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
put on hold as unclear what you're asking by Sean Owen♦ 8 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
put on hold as unclear what you're asking by Sean Owen♦ 8 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
$begingroup$
It's not clear what you are asking. Do you mean 'adapt'? Are you asking why the model isn't good after the first data point? why can't you compute training error?
$endgroup$
– Sean Owen♦
8 hours ago
add a comment |
$begingroup$
It's not clear what you are asking. Do you mean 'adapt'? Are you asking why the model isn't good after the first data point? why can't you compute training error?
$endgroup$
– Sean Owen♦
8 hours ago
$begingroup$
It's not clear what you are asking. Do you mean 'adapt'? Are you asking why the model isn't good after the first data point? why can't you compute training error?
$endgroup$
– Sean Owen♦
8 hours ago
$begingroup$
It's not clear what you are asking. Do you mean 'adapt'? Are you asking why the model isn't good after the first data point? why can't you compute training error?
$endgroup$
– Sean Owen♦
8 hours ago
add a comment |
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$begingroup$
It's not clear what you are asking. Do you mean 'adapt'? Are you asking why the model isn't good after the first data point? why can't you compute training error?
$endgroup$
– Sean Owen♦
8 hours ago