From 16023f12cc44eb1fc93ff7b1ec85416f58e504ce Mon Sep 17 00:00:00 2001
From: Nieis <niels@seesaw.co>
Date: Mon, 22 Apr 2024 22:53:44 -0700
Subject: [PATCH] =?UTF-8?q?type=20=E2=80=9Cparaemeters=E2=80=9D=20?=
 =?UTF-8?q?=E2=9E=9D=20=E2=80=9Cparameters=E2=80=9D?=
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---
 docs/introduction/index.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/introduction/index.html b/docs/introduction/index.html
index f0f5990..588689d 100644
--- a/docs/introduction/index.html
+++ b/docs/introduction/index.html
@@ -114,7 +114,7 @@ <h2 id="learning">Learning</h2>
 ![goal](learning_2.png =100x20) --></p>
 
 <p>For instance, we might be given access to a dataset of dog images <script type="math/tex">\mathcal{D}</script> and
-our goal is to learn the paraemeters of  a generative model <script type="math/tex">\theta</script> within a model family <script type="math/tex">\mathcal{M}</script> such that
+our goal is to learn the parameters of  a generative model <script type="math/tex">\theta</script> within a model family <script type="math/tex">\mathcal{M}</script> such that
 the model distribution <script type="math/tex">p_\theta</script> is close to the data distribution over dogs
 <script type="math/tex">p_{\mathrm{data}}</script>. Mathematically, we can specify our goal as the
 following optimization problem: <script type="math/tex"></script>\begin{equation}