| Topic: | [Deep Learning] Stochastic Binary Neural Networks |
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| Department: | Katedra kybernetiky |
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| Supervisor: | Mgr. Oleksandr Shekhovtsov, Ph.D. |
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| Announce as: | Diplomová práce, Bakalářská práce, Semestrální projekt |
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| Description: | Binary networks use only binary weights and activatinos. A forward computation is extremely efficient and the hardware support is growing. Training such models is feasible with stochastic relaxation methods.
Efficient implementation of the methods developed at the department. Experimental comparison of different methods. Theoretical improvement of methods. |
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