![Certificate Probabilistic Deep Learning with TensorFlow 2](https://kzhu.ai/wp-content/uploads/2022/11/Coursera-P629FF79BTE8.jpg)
My #118 certificate from Coursera
Probabilistic Deep Learning with TensorFlow 2Imperial College London The focus of this course is the TensorFlow Probability library....
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Variational Autoencoders
The Variational Autoencoder (VAE) is an algorithm for inference and learning in a latent variable generative model. In...
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TensorFlow: Normalizing Flow Models
Generative models are a kind of statistical model that aims to learn the underlying data distribution itself. If a generative...
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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...
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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...