minor modif

1 files changed, 1 insertions, 2 deletions

diff --git a/README.md b/README.md
index c613822..9c6e86d 100644
--- a/README.md
+++ b/README.md
@@ -236,8 +236,7 @@ Two additional arguments are also possible:
 * gamma (default=0.01): determine the update rate of the metric for a minibatch setting, i.e., (1-gamma) * oldMetric + gamma newMetric. Smaller minibatches require a smaller gamma. A default value depending on the size of the minibatches is `gamma = 1. - torch.pow(1.-1./nTraining,miniBatchSize)` where `nTraining` is the number of training examples of the dataset and `miniBatchSize` is the number of training examples per minibatch. 
 * qdFlag (default=true): Whether to use the quasi-diagonal reduction (true) or only the diagonal (false). The former should be better.
 
-To implement a natural gradient descent, one should also use a module for generating the pseudo-labels.
-
+Replacing Linear by QDRiemmaNNLinear is a straightforward implementation of the outer product gradient descent.
 
 ## Requirements