Understanding Plate Notation And Datasets In Tensorflow Probability
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Key Takeaways about Plate Notation And Datasets In Tensorflow Probability
- TensorFlow Datasets
- We put a Dirichlet prior on the Categorical's parameter vector. Now let's derive the Posterior and the Maximum A Posteriori ...
- In a special live episode from the
- TensorFlow Probability
- An introduction to the Categorical with a simple tutorial in
Detailed Analysis of Plate Notation And Datasets In Tensorflow Probability
The In this video we introduce directed graphical models (DGM) with the help of a simple example. DGMs use DAGs (directed a-cyclic ... GMMs are used for clustering data or as generative models. Let's start with understanding by looking at a one-dimensional 1D ...
Topic modeling is a probabilistic approach for identifying latent topics in a collection of documents. This video discusses the ...
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