From 26b966cb786fc583fbd1917669d9af6aeb30c75d Mon Sep 17 00:00:00 2001 From: William Falcon Date: Thu, 27 Jun 2019 14:38:04 -0400 Subject: [PATCH] debugging and gpu guide --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 51c491396d..818326317a 100644 --- a/README.md +++ b/README.md @@ -23,11 +23,11 @@ pip install pytorch-lightning **[View the docs here](https://williamfalcon.github.io/pytorch-lightning/)** ## What is it? -Keras is too abstract for researchers. Lightning abstracts the full training loop but gives you control in the critical points. +Keras and fast.ai are too abstract for researchers. Lightning abstracts the full training loop but gives you control in the critical points. ## Why do I want to use lightning? -Because you want to use best practices and get gpu training, multi-node training, checkpointing, mixed-precision, etc... for free. +Because you want to use best practices and get gpu training, multi-node training, checkpointing, mixed-precision, etc... for free, but still want granular control of the meat of the training, validation and testing loops. To use lightning do 2 things: 1. [Define a trainer](https://github.com/williamFalcon/pytorch-lightning/blob/master/docs/source/examples/basic_trainer.py) (which will run ALL your models).