Acceleration of neural networks using depth-first processing

A method for accelerating a neural network includes identifying neural network layers that meet a locality constraint. Code is generated to implement depth-first processing for different hardware based on the identified neural network layers. The generated code is used to perform the depth-first pro...

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Bibliographische Detailangaben
Hauptverfasser: Weber, Nicolas, Niepert, Mathias, Huici, Felipe
Format: Patent
Sprache:eng
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Zusammenfassung:A method for accelerating a neural network includes identifying neural network layers that meet a locality constraint. Code is generated to implement depth-first processing for different hardware based on the identified neural network layers. The generated code is used to perform the depth-first processing on the neural network based on the generated code.