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Fix typo in the self-supervised learning example (#2623)

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Adrià Arrufat 2022-07-14 07:54:10 +09:00 committed by GitHub
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examples/dnn_self_supervised_learning_ex.cpp
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@ -22,7 +22,7 @@
representations as: C = trans(ZA) * ZB.
- make C as close as possible to the identity matrix.
This removes the redundancy of the feature representations, by maximizing the
This removes the redundancy of the feature representations by maximizing the
encoded information about the images themselves, while minimizing the information
about the transforms and data augmentations used to obtain the representations.