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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 I will explain the famous backpropagation algorithm. I will explain all the necessary concepts and walk you through a concrete example. At the end we will see how easy it is to use backpropagation in PyTorch. - Chain Rule - Computational Graph and local gradients - Forward and backward pass - Concrete example with numbers (Linear Regression) - How to use backpropagation in PyTorch 📚 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 Part 04: Backpropagation - Theory With Example If you enjoyed this video, please subscribe to the channel! Official website: https://pytorch.org/ Part 01: https://youtu.be/EMXfZB8FVUA Linear Regression from scratch: https://youtu.be/4swNt7PiamQ 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! 🙏
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