From 2d036b3264a7b3ba47fbc50f3f26b61d5c1ebdf1 Mon Sep 17 00:00:00 2001 From: William Falcon Date: Fri, 28 Jun 2019 14:13:15 -0400 Subject: [PATCH] changed read me --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 7b5251b890..cb46703293 100644 --- a/README.md +++ b/README.md @@ -28,8 +28,8 @@ Keras and fast.ai are too abstract for researchers. Lightning abstracts the full ## Why do I want to use lightning? Because you don't want to define a training loop, validation loop, gradient clipping, checkpointing, loading, -gpu training, etc... every time you start a project. Let lightning handle all of that for you and you just define your -data and what happens in the training, testing and validation loop +gpu training, etc... every time you start a project. Let lightning handle all of that for you! Just define your +data and what happens in the training, testing and validation loop and lightning will do the rest. To use lightning do 2 things: 1. [Define a Trainer](https://github.com/williamFalcon/pytorch-lightning/blob/master/examples/new_project_templates/trainer_cpu_template.py).