GitHub / mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.
Stars: 63
Forks: 34
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 47.8 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: 5 months ago
Pushed at: 6 months ago
Last synced at: 2 months ago
Topics: bernoulli-distribution, binomial-distributions, deep-probabilistic-models, keras, machine-learning, multivariate-distributions, poisson-distribution, probabilistic-deep-learning, probabilistic-layers, probabilistic-programming, tensorflow, tensorflow-probability, tensorflow2, tfp, univariate-distributions