PyTorch Tutorial 17 - Saving and Loading Models

New Tutorial series about Deep Learning with PyTorch! ⭐ Check out Tabnine, the FREE AI-powered code completion tool I use to help me code faster: https://www.tabnine.com/?utm_source=youtube.com&utm_campaign=PythonEngineer * In this part we will learn how to save and load our model. I will show you the different functions you have to remember, and the different ways of saving our model. I also show you what you must consider when using a GPU. Functions you must know: - torch.save() - torch.load() - torch.nn.Module().load_state_dict() Part 17: Saving and Loading Models 📚 Get my FREE NumPy Handbook: https://www.python-engineer.com/numpybook 📓 Notebooks available on Patreon: https://www.patreon.com/patrickloeber ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN If you enjoyed this video, please subscribe to the channel! Official website: https://pytorch.org/ Part 01: https://youtu.be/EMXfZB8FVUA Further Readings: https://pytorch.org/tutorials/beginner/saving_loading_models.html Code for this tutorial series: https://github.com/patrickloeber/pytorchTutorial You can find me here: Website: https://www.python-engineer.com Twitter: https://twitter.com/patloeber GitHub: https://github.com/patrickloeber #Python #DeepLearning #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! 🙏