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Fix tiny typo in mathematical expression (#2867)

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Jan Hohenheim 2025-03-04 18:12:57 +01:00 committed by GitHub
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burn-book/src/basic-workflow/model.md
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@ -305,7 +305,7 @@ are set using the configuration of the corresponding neural network's underlying
specific case, we have chosen to expand the tensor channels from 1 to 8 with the first layer, then
from 8 to 16 with the second layer, using a kernel size of 3 on all dimensions. We also use the
adaptive average pooling module to reduce the dimensionality of the images to an 8 by 8 matrix,
which we will flatten in the forward pass to have a 1024 (16 _ 8 _ 8) resulting tensor.
which we will flatten in the forward pass to have a 1024 (16 * 8 * 8) resulting tensor.
Now let's see how the forward pass is defined.