diff --git a/README.md b/README.md
index 96b7821..4ffacd1 100644
--- a/README.md
+++ b/README.md
@@ -23,7 +23,7 @@ The ConstellationNet model is defined inside the `constellation/` folder. At the
 `experiment.py` runs experiments to find the best hyperparameters for each constellation order. Currently, the following parameters are tested:
 
 * `order`, the number of points in the constellation, is 4, 16 or 32.
-* `initial_learning_rate`, the first learning rate used by the optimizer, is $10^-2$, $10^-1$ or $1$.
+* `initial_learning_rate`, the first learning rate used by the optimizer, is $10^{-2}$, $10^{-1}$ or $1$.
 * `batch_size`, the number of training examples in each batch, expressed as a multiple of `order`, is 8 or 2048.
 * `first_layer`, the size of the first hidden layer, ranges from 0 to the constellation’s order in steps of 4 (0 meaning that there is no hidden layer).
 * `last_layer`, the size of the second hidden layer, ranges from 0 to `first_layer` (because the second layer is never larger than the first).