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Diffstat (limited to 'tensorflow/python/layers/base.py')
| -rw-r--r-- | tensorflow/python/layers/base.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/python/layers/base.py b/tensorflow/python/layers/base.py index 74b85da845..6be2bc3e76 100644 --- a/tensorflow/python/layers/base.py +++ b/tensorflow/python/layers/base.py @@ -221,7 +221,7 @@ class Layer(object): Weight updates (for instance, the updates of the moving mean and variance in a BatchNormalization layer) may be dependent on the inputs passed - when calling a layer. Hence, when reusing a same layer on + when calling a layer. Hence, when reusing the same layer on different inputs `a` and `b`, some entries in `layer.updates` may be dependent on `a` and some on `b`. This method automatically keeps track of dependencies. @@ -295,9 +295,9 @@ class Layer(object): """Add loss tensor(s), potentially dependent on layer inputs. Some losses (for instance, activity regularization losses) may be dependent - on the inputs passed when calling a layer. Hence, when reusing a same layer - on different inputs `a` and `b`, some entries in `layer.losses` may be - dependent on `a` and some on `b`. This method automatically keeps track + on the inputs passed when calling a layer. Hence, when reusing the same + layer on different inputs `a` and `b`, some entries in `layer.losses` may + be dependent on `a` and some on `b`. This method automatically keeps track of dependencies. The `get_losses_for` method allows to retrieve the losses relevant to a |