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Diffstat (limited to 'tensorflow/g3doc/api_docs/python/nn.md')
| -rw-r--r-- | tensorflow/g3doc/api_docs/python/nn.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/g3doc/api_docs/python/nn.md b/tensorflow/g3doc/api_docs/python/nn.md index 6540a614c1..8da65f848e 100644 --- a/tensorflow/g3doc/api_docs/python/nn.md +++ b/tensorflow/g3doc/api_docs/python/nn.md @@ -820,7 +820,7 @@ classes are mutually exclusive (each entry is in exactly one class). For example, each CIFAR-10 image is labeled with one and only one label: an image can be a dog or a truck, but not both. -**NOTE:**: While the classes are mutually exclusive, their probabilities +**NOTE:** While the classes are mutually exclusive, their probabilities need not be. All that is required is that each row of `labels` is a valid probability distribution. If using exclusive `labels` (wherein one and only one class is true at a time), see @@ -857,7 +857,7 @@ classes are mutually exclusive (each entry is in exactly one class). For example, each CIFAR-10 image is labeled with one and only one label: an image can be a dog or a truck, but not both. -**NOTE:**: For this operation, the probability of a given label is considered +**NOTE:** For this operation, the probability of a given label is considered exclusive. That is, soft classes are not allowed, and the `labels` vector must provide a single specific index for the true class for each row of `logits` (each minibatch entry). For soft softmax classification with |