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Update mnist.md #127

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2 changes: 1 addition & 1 deletion content/tutorials/mnist.md
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Expand Up @@ -218,7 +218,7 @@ type convnet struct {
#### Definition of the learnables

The convolution is using a standard $3\times3$ kernel, and 32 filters.
As the images of the dataset are in black and white, we are using only one channel. This lead to the following definition of the weights:
As the images of the dataset are in black and white, we are using only one channel. This leads to the following definition of the weights:

* $W_0 \in \mathbb{R}^{32\times 1\times3\times3}$ for the first convolution operator
* $W_1 \in \mathbb{R}^{64\times 32\times3\times3}$ for the second convolution operator
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