Getting Started with PyTorch for Machine Learning

In this lab, you’ll gain hands on skills with PyTorch for machine learning. Begin by exploring the functionality of basic neurons and assembling feedforward architectures to process data with tensors. Experiment with parameter tuning, hyperparameter customization, and training techniques using interactive demos and coding challenges. Visualize training progress with loss and accuracy curves, and reinforce your understanding with targeted comprehension questions and hands-on exercises to demystify AI.