From 7dfa3921e28c1c41af923e648202d655450f5e27 Mon Sep 17 00:00:00 2001
From: Matthieu Thiboust <14574229+mthiboust@users.noreply.github.com>
Date: Wed, 29 Nov 2023 11:46:55 +0100
Subject: [PATCH] docs: minor change

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 6eee571..967dc41 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ There are already a few open-source libraries for Self-Organizing Maps in python
 * Ability to easily customize the SOM algorithm (e.g. distance, neighborhood, learning rate and update functions).
 * Capacity to vectorize the computations over many SOMs (e.g. for distributed learning over 2D maps of SOMs).
 
-Thanks to [JAX](https://github.com/google/jax)'s `jit` and `vmap` magic functions, it turned out that performance was also significantly better compared to other frameworks. Under the hood, it relies indirectly on JAX via the [Equinox](https://github.com/patrick-kidger/equinox) library that offers an easy-to-use PyTorch-like syntax.
+Thanks to [JAX](https://github.com/google/jax)'s `jit` and `vmap` functions, it turned out that performance was also significantly better compared to other frameworks. Under the hood, it relies indirectly on JAX via the [Equinox](https://github.com/patrick-kidger/equinox) library that offers an easy-to-use PyTorch-like syntax.
 
 # Installation