Ricardo Pio Monti
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- Matti Lyra3 talks
- Benjamin Batorsky3 talks
- Dinesh Subramani1 talk
- Sho Tanaka2 talks
- Sanghamitra Deb4 talks
- Carton2 talks
| title | conference | date |
|---|---|---|
| Modelling a text corpus using Deep Boltzmann Machines in python | PyData London 2016 | 2016-05-06 |
Deep Boltzmann machines implemented in Python using bumpy model 10,000 abstracts as word‑count visibles with a softmax likelihood, pretrained as RBMs then… | ||
| Modelling a text corpus using Deep Boltzmann Machines | PyData Madrid 2016 | 2016-03-12 |
Builds probabilistic text embeddings from about 10,000 abstracts with a vocabulary of 1,000 using deep Boltzmann machines implemented in Python with numpy… | ||
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