Ch-3-Practical-Deep-Learning

📄Building Models

In PyTorch, every model you build must inherit from nn.Module.

📄Experiment Tracking

Content for Experiment Tracking goes here.

📄Model Evaluation

Content for Model Evaluation goes here.

📄PyTorch Basics

PyTorch is the undisputed king of Deep Learning frameworks. It's essentially just numpy but with two massive superpowers:

📄Saving & Loading Models

You just spent 4 days training a model. How do you save it so you don't lose it?

📄The Training Loop

This is the heartbeat of Deep Learning. Every training loop in PyTorch follows the exact same 5-step pattern. If you memorize this, you can train any AI in the world.

📄Training Pipelines

Content for Training Pipelines goes here.