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Promising Circuit Structures for Modular Neural Networks
Bohrn, Marek ; Ďuračková, Daniela (referee) ; Husák, Miroslav (referee) ; Fujcik, Lukáš (advisor)
The thesis deals with design of novel circuit structure suitable for hardware implementations of feedforward neural networks. The structure utilizes innovative data bus structure. The main contribution of the structure is in optimization of the utilization of implemented computing units. Proposed architecture is flexible and suitable for implementations of variety of feedforward neural network structures.

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