From 0e9bc826265f267ba05754719b4e035a1802ceca Mon Sep 17 00:00:00 2001 From: janEbert Date: Mon, 6 Apr 2020 13:52:27 +0200 Subject: [PATCH] Loss -> Loss Functions --- docs/src/training/training.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/src/training/training.md b/docs/src/training/training.md index 48b7b42d..36da0eb0 100644 --- a/docs/src/training/training.md +++ b/docs/src/training/training.md @@ -15,7 +15,7 @@ Flux.Optimise.train! There are plenty of examples in the [model zoo](https://github.com/FluxML/model-zoo). -## Loss +## Loss Functions The objective function must return a number representing how far the model is from its target – the *loss* of the model. The `loss` function that we defined in [basics](../models/basics.md) will work as an objective. We can also define an objective in terms of some model: