Building a Multiclass Classification Model in PyTorch
The PyTorch library is for deep learning. Some applications of deep learning models are used to solve regression or classification problems. In this tutorial, you will discover how to use PyTorch to develop and evaluate neural network models for multi-class classification problems.
After completing this step-by-step tutorial, you will know:
- How to load data from CSV and make it available to PyTorch
- How to prepare multi-class classification data for modeling with neural networks
- How to use cross validation to evaluate a PyTorch neural network model
Kick-start your project with my book Deep Learning with PyTorch. It provides self-study tutorials with working code.
Let’s get started.
