Creating a Training Loop for PyTorch Models

PyTorch provides a lot of building blocks for a deep learning model, but a training loop is not part of them. It is a flexibility that allows you to do whatever you want during training, but some basic structure is universal across most use cases.

In this post, you will see how to make a training loop that provides essential information for your model training, with the option to allow any information to be displayed. After completing this post, you will know:

• The basic building block of a training loop
• How to use tqdm to display training progress

Kick-start your project with my book Deep Learning with PyTorch. It provides self-study tutorials with working code.

Let’s get started.