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Expand file tree Collapse file tree Original file line number Diff line number Diff line change 1515Now that we have a model and data it's time to train, validate and test our model by optimizing its parameters on
1616our data. Training a model is an iterative process; in each iteration the model makes a guess about the output, calculates
1717the error in its guess (*loss*), collects the derivatives of the error with respect to its parameters (as we saw in
18- the `previous section <autograd_tutorial .html>`_), and **optimizes** these parameters using gradient descent. For a more
18+ the `previous section <autogradqs_tutorial .html>`_), and **optimizes** these parameters using gradient descent. For a more
1919detailed walkthrough of this process, check out this video on `backpropagation from 3Blue1Brown <https://www.youtube.com/watch?v=tIeHLnjs5U8>`__.
2020
2121Prerequisite Code
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