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Convolutional neural network: Difference between revisions
→Convolutions
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For each possible position of the 3x3 kernel over the input image, | For each possible position of the 3x3 kernel over the input image, | ||
we perform an element-wise multiplication (<math>\odot</math>) and sum over all entries to get a single value.<br> | we perform an element-wise multiplication (<math>\odot</math>) and sum over all entries to get a single value.<br> | ||
Placing the kernel in the first position would yield: | Placing the kernel in the first position would yield:<br> | ||
<math> | <math> | ||
\begin{bmatrix} | \begin{bmatrix} | ||
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6 & 10 & 9 | 6 & 10 & 9 | ||
\end{bmatrix} | \end{bmatrix} | ||
</math> | </math><br> | ||
Summing up all the elements gives us <math>66</math> which would go in the first index of the output. | Summing up all the elements gives us <math>66</math> which would go in the first index of the output. | ||