PyTorch Tutorial 08 - Logistic Regression

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 implement a logistic regression algorithm and apply all the concepts that we have learned so far: - Training Pipeline in PyTorch - Model Design - Loss and Optimizer - Automatic Training steps with forward pass, backward pass, and weight updates Part 08: Logistic Regression 📚 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 Logistic Regression from scratch: https://youtu.be/JDU3AzH3WKg 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! 🙏