diff options
| -rw-r--r-- | tensorflow/contrib/kfac/python/ops/estimator.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/kfac/python/ops/estimator.py b/tensorflow/contrib/kfac/python/ops/estimator.py index c353f3592f..27ff951f16 100644 --- a/tensorflow/contrib/kfac/python/ops/estimator.py +++ b/tensorflow/contrib/kfac/python/ops/estimator.py @@ -95,7 +95,7 @@ class FisherEstimator(object): blocks, kronecker factors, and losses associated with the graph. estimation_mode: The type of estimator to use for the Fishers. Can be - 'gradients', 'empirical', 'curvature_propagation', or 'exact'. + 'gradients', 'empirical', 'curvature_prop', or 'exact'. (Default: 'gradients'). 'gradients' is the basic estimation approach from the original K-FAC paper. 'empirical' computes the 'empirical' Fisher information matrix (which uses the data's distribution for the |