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Update optimization_tutorial.py (#1471)
Fixed spelling error. Co-authored-by: holly1238 <77758406+holly1238@users.noreply.github.com>
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beginner_source/basics/optimization_tutorial.py

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Optimizing Model Parameters
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===========================
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Now that we have a model and data it's time to train, validate and test our model by optimizing it's parameters on
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Now that we have a model and data it's time to train, validate and test our model by optimizing its parameters on
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our data. Training a model is an iterative process; in each iteration (called an *epoch*) the model makes a guess about the output, calculates
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the error in its guess (*loss*), collects the derivatives of the error with respect to its parameters (as we saw in
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the `previous section <autograd_tutorial.html>`_), and **optimizes** these parameters using gradient descent. For a more

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