Understanding Plate Notation And Datasets In Tensorflow Probability
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Key Takeaways about Plate Notation And Datasets In Tensorflow Probability
- TensorFlow Datasets
- GMMs are used for clustering data or as generative models. Let's start with understanding by looking at a one-dimensional 1D ...
- TensorFlow Probability
- We put a Dirichlet prior on the Categorical's parameter vector. Now let's derive the Posterior and the Maximum A Posteriori ...
- Topic modeling is a probabilistic approach for identifying latent topics in a collection of documents. This video discusses the ...
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 ... Tensorflow Probability
In this video we look at the
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