HyperNets and their application to learning spatial transformations

In this paper we propose a conceptual framework for higher-order artificial neural networks. The idea of higher-order networks arises naturally when a model is required to learn some group of transformations, every element of which is well-approximated by a traditional feedforward network. Thus the...

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Bibliographische Detailangaben

Hauptverfasser:	Potapov, Alexey, Shcherbakov, Oleg, Zhdanov, Innokentii, Rodionov, Sergey, Skorobogatko, Nikolai
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Neural and Evolutionary Computing
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