Deep Learning Models for Multi-Output Regression

Last Updated on August 28, 2020Multi-output regression involves predicting two or more numerical variables. Unlike normal regression where a single value is predicted for each sample, multi-output regression requires specialized machine learning algorithms that support outputting multiple variables for each prediction. Deep learning neural networks are an example of an algorithm that natively supports multi-output […]

The post Deep Learning Models for Multi-Output Regression appeared first on Machine Learning Mastery.