Recap

Explore the core concepts of gradient descent in this recap lesson. Understand how parameters are updated using gradients and learning rates, the importance of feature scaling, and the differences between batch types. Gain practical insights into loss surfaces and update steps, preparing you to train models effectively in PyTorch.