Method for Realizing a Neural Network

A method for realizing an artificial neural network via an electronic integrated circuit (FPGA), wherein artificial neurons grouped into different interlinked layers for the artificial neural network, where a functional description is created for each neuron of the artificial neural network, taking...

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Bibliographic Details
Main Authors MATSCHNIG, Martin, HINTERSTOISSER, Thomas, TAUCHER, Herbert
Format Patent
LanguageEnglish
Published 01.04.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A method for realizing an artificial neural network via an electronic integrated circuit (FPGA), wherein artificial neurons grouped into different interlinked layers for the artificial neural network, where a functional description is created for each neuron of the artificial neural network, taking into account a specifiable starting weighting, a synthesis is performed for each neuron based on the associated functional description with the associated specified starting weighting, a network list is determined as the synthesis result, in which at least a base element and a starting configuration belonging to the base element are stored for each neuron, a base element is formed as a lookup table (LUT) unit and an associated dynamic configuration cell, in which a current configuration for the LUT unit or the base element is stored, and where the network list is implemented as a starting configuration of the artificial neural network in the electronic integrated circuit.
Bibliography:Application Number: US201816955356