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| author | TheSiahxyz <164138827+TheSiahxyz@users.noreply.github.com> | 2024-07-29 14:14:27 +0900 |
|---|---|---|
| committer | TheSiahxyz <164138827+TheSiahxyz@users.noreply.github.com> | 2024-07-29 14:14:27 +0900 |
| commit | 2f32142ea7162aa05ac33e4e89df5b9a1c657ddd (patch) | |
| tree | 6bf8bec6680b7d8c819e9a88bf04f8c7756fd440 /SI/Resource/Data Science/Machine Learning/Contents/Gradient descent.md | |
| parent | 8abb4730aff5f380a2e0f3a29b5fe439817d28a0 (diff) | |
Init
Diffstat (limited to 'SI/Resource/Data Science/Machine Learning/Contents/Gradient descent.md')
| -rw-r--r-- | SI/Resource/Data Science/Machine Learning/Contents/Gradient descent.md | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/SI/Resource/Data Science/Machine Learning/Contents/Gradient descent.md b/SI/Resource/Data Science/Machine Learning/Contents/Gradient descent.md index fdf8905..6d047a1 100644 --- a/SI/Resource/Data Science/Machine Learning/Contents/Gradient descent.md +++ b/SI/Resource/Data Science/Machine Learning/Contents/Gradient descent.md @@ -7,7 +7,6 @@ tags: - Machine-Learning - Gradient-descent --- - # Gradient Descent - Update parameters that minimize values of loss functions @@ -18,4 +17,4 @@ tags: 1. Find the derivative of the loss function at the current parameters. 2. Update parameters in the opposite direction of the derivative -3. Repeat steps 1 and 2 as many epochs (hyperparameter) until the differential value becomes 0.
\ No newline at end of file +3. Repeat steps 1 and 2 as many epochs (hyperparameter) until the differential value becomes 0. |