From ad61b03fe97b4532c7b6efab15a9d7df546dc6ac Mon Sep 17 00:00:00 2001 From: William Falcon Date: Sun, 18 Aug 2019 18:51:47 -0400 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c113e9ea..6a81541e 100644 --- a/README.md +++ b/README.md @@ -37,7 +37,7 @@ Lightning is a very lightweight wrapper on PyTorch. This means you don't have to ## Why do I want to use lightning? When starting a new project the last thing you want to do is recode a training loop, multi-cluster training, 16-bit precision, early-stopping, model loading/saving, when to validate, etc... You're likely to spend a long time ironing out all the bugs without even getting to the core of your research. -With lightning, you guarantee those parts of your code work so you can focus on what the meat of the research: The data and the training/validation loop logic. +With lightning, you guarantee those parts of your code work so you can focus on the meat of the research: The data and the training/validation loop logic. Don't worry about training on multiple gpus or speeding up your code, lightning will do that for you!