Probabilistic vs. Deterministic Regression with Tensorflow

Probabilistic deep learning

Introduction

This article belongs to the series “Probabilistic Deep Learning”. This weekly series covers probabilistic approaches to deep learning. The main goal is to extend deep learning models to quantify uncertainty, i.e. know what they do not know.

This article will explore the main differences between deterministic and probabilistic regression. In general, deterministic regression is practical when the relationship…