| Seznam |
| Téma: | [Deep Learning] Semantic Hashing |
|---|---|
| Katedra: | Katedra kybernetiky |
| Vedoucí: | Mgr. Oleksandr Shekhovtsov, Ph.D. |
| Vypsáno jako: | Diplomová práce, Bakalářská práce, Semestrální projekt |
| Popis: | We will train a neural network to produce binary hash codes. Such codes can be used for a very efficient look-up, much like indexing in a (hierarchical) catalogue, of semantically similar items (documents, images, image patches). You will learn gradient estimators of binary variables, design models that cluster data into (hierarchical) categories, experiment with new models and learning methods, with space to propose own practical and theoretical improvements.
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