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Lecture 10: Polishing touches
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docs/src/lecture_10/exercises.md

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@@ -232,9 +232,9 @@ Exercises which do not require GPUs start here.
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<div class = "exercise-body">
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<header class = "exercise-header">Exercise 3:</header><p>
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```
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Load the network from ```data/mnist.bson```. Then create a ``10\times 10`` table, where the ``(i+1,j+1)`` entry is the number of samples, where digit ``i`` was misclassified as digit ``j``.
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Load the network from ```data/mnist.bson```. Then create a ``10\times 10`` table, where the ``(i+1,j+1)`` entry is the number of samples, where digit ``i`` was misclassified as digit ``j``. This matrix is called the [confusion matrix](https://en.wikipedia.org/wiki/Confusion_matrix).
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Convert the table into a dataframe and add labels.
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Convert the confusion matrix into a dataframe and add labels.
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```@raw html
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</p></div>
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<details class = "solution-body">

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