PyTorch LR Scheduler - Adjust The Learning Rate For Better Results

In this PyTorch Tutorial we learn how to use a Learning Rate (LR) Scheduler to adjust the LR during training. Models often benefit from this technique once learning stagnates, and you get better results. We will go over the different methods we can use and I’ll show some code examples that apply the scheduler. ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ ✅ Write cleaner code with Sourcery: * Documentation: - provides several methods to adjust the learning rate based on the number of epochs. - allows dynamic learning rate reducing based on some validation measurements. Get my Free NumPy Handbook: 🦾 Join Our Discord : 📓 ML Notebooks available on Patreon: If you enjoyed this video, please subscribe t