My #118 certificate from Coursera
Probabilistic Deep Learning with TensorFlow 2Imperial College London The focus of this course is the TensorFlow Probability library....
Variational Autoencoders
The Variational Autoencoder (VAE) is an algorithm for inference and learning in a latent variable generative model. In...
TensorFlow: Normalizing Flow Models
Generative models are a kind of statistical model that aims to learn the underlying data distribution itself. If a generative...
TensorFlow: Probabilistic Deep Learning Models
Unfortunately, deep learning models aren’t always accurate, especially when asked to make predictions on new data points that are dissimilar to the...
Distribution Objects in TensorFlow Probability
We’ll be making extensive use of the TensorFlow Probability library to help us develop probabilistic deep learning models. The...