Building a Regression Model in PyTorch - MachineLearningMastery.com Building a Regression Model in PyTorch - MachineLearningMastery.com

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. The dataset you will use in this tutorial is the California housing dataset. This is a dataset that describes the median house value for California districts.