From 73d2572fbe033b563554ec74ec60399da3e796fc Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Matt=C3=A9o=20Delabre?= Date: Wed, 18 Dec 2019 11:26:57 -0500 Subject: [PATCH] Fix typo in README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) 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).