PyTorch Lightning Training Intro
PyTorch Lighting is a lightweight PyTorch wrapper for high-performance AI research, that reduces the boilerplate without limiting flexibility.
In this series, we are covering all the tricks PyTorch Lightning offers to supercharge your training.
In this video, we give a short intro to the Lightning framework and its main API- the LightningModule. Continue watching to learn more about how to control your training and validation loop, how to scale your model to run on TPUs or multi-node GPUs without changing your code, and more!
More examples of Lightning models can be found in our sister library, Lightning bolts: https://github.com/PyTorchLightning/pytorch-lightning-bolts/tree/master/pl_bolts/models
To learn more about Lightning, please visit the official website: https://pytorchlightning.ai
👉 Read our docs: https://bit.ly/3515yBU
👉 Github: https://github.com/PyTorchLightning/pytorch-lightning
👉 Join our slack: https://bit.ly/3j52N7y
👉 Twitter: https://twitter.com/PyTorchLightnin