Building a Regression Model in PyTorch
PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems.
In this post, you will discover how to use PyTorch to develop and evaluate neural network models for regression problems.
After completing this post, you will know:
- How to load data from scikit-learn and adapt it for PyTorch models
- How to create a neural network for regerssion problem using PyTorch
- How to improve model performance with data preparation techniques
Kick-start your project with my book Deep Learning with PyTorch. It provides self-study tutorials with working code.
Let’s get started.
