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. -- GitLab