Using Dropout Regularization in PyTorch Models

Dropout is a simple and powerful regularization technique for neural networks and deep learning models.

In this post, you will discover the Dropout regularization technique and how to apply it to your models in PyTorch models.

After reading this post, you will know:

• How the Dropout regularization technique works
• How to use Dropout on your input layers
• How to use Dropout on your hidden layers
• How to tune the dropout level on your problem

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

Let’s get started.