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Update usage.md

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@@ -8,14 +8,11 @@ In this visualizer, you visualize the loss and regularization of linear regressi
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  In the data tab, generate a dataset using a custom function or upload a csv file. Make sure the function depends on `x1` and `x2`.
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- ---
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  ### Regularization
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  Select your loss function and regularization type
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- ---
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-
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  ### Generating plots
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  Click **Regenerate Plots** to update plots with the current settings
@@ -27,13 +24,11 @@ Click **Regenerate Plots** to update plots with the current settings
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  The contour plot shows the loss values and the regularization norms for the linear models on the dataset. The red path shows how the loss and regularization norm values
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  change as the regularization strength moves from 10^{-4} to 10^4 (log scale). You can see that the path intersects where the loss and regularization contours are parallel.
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- ---
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  ### Data Plot
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  The data plot shows the data points used to compute the loss values.
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- ---
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  ### Strength Plot
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  In the data tab, generate a dataset using a custom function or upload a csv file. Make sure the function depends on `x1` and `x2`.
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  ### Regularization
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  Select your loss function and regularization type
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  ### Generating plots
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  Click **Regenerate Plots** to update plots with the current settings
 
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  The contour plot shows the loss values and the regularization norms for the linear models on the dataset. The red path shows how the loss and regularization norm values
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  change as the regularization strength moves from 10^{-4} to 10^4 (log scale). You can see that the path intersects where the loss and regularization contours are parallel.
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  ### Data Plot
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  The data plot shows the data points used to compute the loss values.
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  ### Strength Plot
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