Rooba
/
lightning
mirror of https://github.com/Lightning-AI/lightning.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

changed read me

This commit is contained in:
William Falcon 2019-06-28 14:12:34 -04:00
parent d83f6bb9c9
commit 03aa142adc
1 changed files with 3 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@ -27,7 +27,9 @@ Keras and fast.ai are too abstract for researchers. Lightning abstracts the full
## 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, but still want granular control of the meat of the training, validation and testing loops.
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
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).