debugging and gpu guide
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@ -23,11 +23,11 @@ pip install pytorch-lightning
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**[View the docs here](https://williamfalcon.github.io/pytorch-lightning/)**
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## What is it?
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Keras is too abstract for researchers. Lightning abstracts the full training loop but gives you control in the critical points.
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Keras and fast.ai are too abstract for researchers. Lightning abstracts the full training loop but gives you control in the critical points.
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## Why do I want to use lightning?
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Because you want to use best practices and get gpu training, multi-node training, checkpointing, mixed-precision, etc... for free.
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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.
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To use lightning do 2 things:
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1. [Define a trainer](https://github.com/williamFalcon/pytorch-lightning/blob/master/docs/source/examples/basic_trainer.py) (which will run ALL your models).
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