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Copy file name to clipboardExpand all lines: docs/src/tutorials/vi.md
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Since `x_mu` and `x_log_std`are not fixed to particular values, this generative function defines a *family* of distributions, not just one. Note that we intentionally chose to parameterize the distribution by the log standard deviation `x_log_std`, so that every parameter has full support over the real line, and we can perform unconstrained optimization of the parameters.
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Since `x_mu` and `x_log_std`are not fixed to particular values, this generative function defines a *family* of distributions, not just one. Note that we intentionally chose to parameterize the distribution by the log standard deviation `x_log_std`, so that every parameter has full support over the real line, and we can perform unconstrained optimization of the parameters.
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To perform variational inference, we need to initialize the variational parameters to their starting values:
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