Difference between revisions of "Regresi Linier"
Jump to navigation
Jump to search
Onnowpurbo (talk | contribs) |
Onnowpurbo (talk | contribs) |
||
Line 30: | Line 30: | ||
x -> y (prediction) | x -> y (prediction) | ||
+ | |||
+ | |||
+ | ==Neural Network sebagai Regresi Linear== | ||
+ | |||
+ | |||
+ | [[File:Neural-network-linear-regression.jpg|center|300px|thumb]] | ||
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)
Neural Network sebagai Regresi Linear