Uncertainty in Deep Learning — Aleatoric Uncertainty and Maximum Likelihood Estimation

Uncertainty in Deep Learning — Aleatoric Uncertainty and Maximum Likelihood Estimation

In the previous article we discussed about softmax outputs and about uncertainty in Deep Learning. Now, we extend those using TensorFlow Probability.

TensorFlow Probability In a Nutshell..

TensorFlow Probability (TFP) is a library for probabilistic programming and statistical inference. It provides a high-level API for constructing and manipulating probability distributions, and for performing posterior inference on them. TFP integrates with the TensorFlow ecosystem …

deep learning keras learning tensorflow uncertainty