Name: Neural Network Architecture and Hyperparameters - Discovering activation functions
Uploaded: 2026-01-04T00:00:00Z
Description: To train a neural network in PyTorch, you will first need to understand additional components, such as activation and loss functions. You will then realize that training a network requires minimizing that loss function, which is done by calculating gradients. You will learn how to use these gradients to update your model's parameters.