From cbc6cef168af139abdedf0d92b98f50f85ca7674 Mon Sep 17 00:00:00 2001
From: Nando Farchmin <nando.farchmin@gmail.com>
Date: Fri, 1 Jul 2022 19:27:06 +0200
Subject: [PATCH] Fix typo

---
 doc/basics.md | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/doc/basics.md b/doc/basics.md
index 1b7bdbe..eda06f9 100644
--- a/doc/basics.md
+++ b/doc/basics.md
@@ -119,11 +119,6 @@ Let $`x^{(1)},\dots,x^{(N)}\sim\pi`$ be independent (random) samples and assume
 
 The empirical regression problem then reads
 
-```math
-\text{Find}\qquad \Psi_\vartheta
-= \operatorname*{arg\, min}_{\Psi_\theta\in\mathcal{M}_{d,\varphi}} \frac{1}{N} \sum_{i=1}^N \bigl(f^{(i)} - \Psi_\theta(x^{(i)})\bigr)^2
-=: \operatorname*{arg\, min}_{\Psi_\theta\in\mathcal{M}_{d,\varphi}} \mathcal{L}_N(\Psi_\theta)
-```
 
 > **Definition** (loss function):
 > A _loss functions_ is any function, which measures how good a neural network approximates the target values.
-- 
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