Difference between revisions of "Regresi Linier"
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[[File:Simple regression.png|center|400px|thumb]] | [[File:Simple regression.png|center|400px|thumb]] | ||
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| + | Gradient Decent = slope sama dengan NOL saat error minimal. | ||
==Prediction== | ==Prediction== | ||
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| + | ==Neural Network sebagai Regresi Linear== | ||
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| + | [[File:Neural-network-linear-regression.jpg|center|500px|thumb]] | ||
==Pranala Menarik== | ==Pranala Menarik== | ||
* [[Keras]] | * [[Keras]] | ||
Latest revision as of 05:57, 12 March 2020
Persamaan Matematik yang ingin di tebak
y = a + b*x
Data yang di ketahui (pasangan)
x1, y1 x2, y2 x3, y3 x4, y4
Training
Kita ingin menebak a dan b.
Kita ingin menebak w0 dan w1
Gradient Decent = slope sama dengan NOL saat error minimal.
Prediction
Setelah a dan b di ketahui. Untuk
x -> y (prediction)
