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PyTorch Lightning Tutorial - Lightweight PyTorch Wrapper For ML Researchers
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PyTorch Tutorials - Complete Beginner Course - PyTorch Lightning Tutorial - Lightweight PyTorch Wrapper For ML Researchers

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This course includes

  • 6.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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PyTorch Lightning is a lightweight PyTorch wrapper that helps you scale your models and write less boilerplate code. In this Tutorial we learn about this framework and how we can convert our PyTorch code to a Lightning code. Lightning is nothing more than organized PyTorch code, so once you’ve organized it into a LightningModule, it automates most of the training for you.The beauty of Lightning is that it handles the details of when to validate, when to call .eval(), turning off gradients, detaching graphs, making sure you don’t enable shuffle for val, etc… ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ ✅ Write cleaner code with Sourcery: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * 🚀🚀 JOIN MY NEWSLETTER 🚀🚀 https://www.python-engineer.com/newsletter/ 🚀🚀 Get exclusive content on Patreon: 🚀🚀 https://www.patreon.com/patrickloeber If you enjoyed this video, please subscribe to the channel! Code: https://github.com/patrickloeber/pytorch-examples PyTorch Lightning: https://github.com/PyTorchLightning/pytorch-lightning https://pytorch-lightning.readthedocs.io/en/stable/ My PyTorch Course: https://www.youtube.com/playlist?list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4 https://github.com/patrickloeber/pytorchTutorial Tensorboard Tutorial: https://www.youtube.com/watch?v=VJW9wU-1n18 You can find me here: Website: https://www.python-engineer.com Twitter: https://twitter.com/patloeber GitHub: https://github.com/patrickloeber #Python #PyTorch ---------------------------------------------------------------------------------------------------------- * This is a sponsored link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏

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