Fix ch07 typos (#306)
* Fix one typo. * Fix second typo. * Fix additional typos. * Spacing and sentence logic fix. * Rollback of wrongly changed capitalization.
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@@ -867,7 +867,7 @@
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"\n",
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"With Mixup we no longer have that problem, because our labels will only be exactly 1 or 0 if we happen to \"mix\" with another image of the same class. The rest of the time our labels will be a linear combination, such as the 0.7 and 0.3 we got in the church and gas station example earlier.\n",
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"\n",
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"One issue with this, however, is that Mixup is \"accidentally\" making the labels bigger than 0, or smaller than 1. That is to say, we're not *explicitly* telling our model that we want to change the labels in this way. So, if we want to change to make the labels closer to, or further away from 0 and 1, we have to change the amount of Mixup—which also changes the amount of data augmentation, which might not be what we want. There is, however, a way to handle this more directly, which is to use *label smoothing*."
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"One issue with this, however, is that Mixup is \"accidentally\" making the labels bigger than 0, or smaller than 1. That is to say, we're not *explicitly* telling our model that we want to change the labels in this way. So, if we want to make the labels closer to, or further away from 0 and 1, we have to change the amount of Mixup—which also changes the amount of data augmentation, which might not be what we want. There is, however, a way to handle this more directly, which is to use *label smoothing*."
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]
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},
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{
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