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This papers shows with a series of examples how probabilistic languages can be integrated into deep learning strategies. In particular shows how to model a multilayer perceptron unit (MPL) and a variational autoencoder (VAE). This papers shows with a series of examples how probabilistic languages can be integrated into deep learning strategies. In particular shows how to model a multilayer perceptron unit (MPL) and a variational autoencoder (VAE).
To be extended... **Conceptual Categorisation of Probabilistic Programming Languages (PPL)**
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![Deep-PPL-overview](uploads/a444d5c55befeffb0cbea299fd6db0d5/Deep-PPL-overview.png)
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