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9 résultats
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Tactics to Directly Map CNN graphs on Embedded FPGAsIEEE Embedded Systems Letters, 2017, 9 (4), pp.113 - 116. ⟨10.1109/LES.2017.2743247⟩
Article dans une revue
hal-01626462v1
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A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGAProceedings of the 10th International Conference on Distributed Smart Cameras - ICDSC'16, Sep 2016, Paris, France
Communication dans un congrès
hal-01415955v1
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Accelerating CNN inference on FPGAs: A Survey2018
Pré-publication, Document de travail
hal-01695375v2
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The Challenge of Multi-Operand Adders in CNNs on FPGAs: How Not to Solve It!18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS '18), Jul 2018, Pythagorion, Greece. pp.157-160, ⟨10.1145/3229631.3235024⟩
Communication dans un congrès
hal-01902952v1
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Propagation of Quantification Error Over Convolutional Neural Network layers: PhD ForumProceedings of the 10th International Conference on Distributed Smart Camera, 2016, Paris, France. pp.226--227
Communication dans un congrès
hal-01626467v1
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PhD Forum: Why TanH can be a Hardware Friendly Activation Function for CNNsProceedings of the 11th International Conference on Distributed Smart Cameras - ICDSC 2017, Sep 2017, Stanford, CA, United States
Communication dans un congrès
hal-01654697v1
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Hardware Automated Datafow Deployment of CNNs[Technical Report] Institut Pascal, Clermont Ferrand. 2017
Rapport
hal-01519524v2
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Direct Hardware Mapping of CNNs on FPGA-Based Smart CamerasWorkshop on Architecture of Smart Cameras, Jun 2017, Cordoba, Spain
Communication dans un congrès
hal-01967273v1
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Study of the Impact of Standard Image Compression Techniques on Performance of Image Classification with a Convolutional Neural Network[Research Report] INSA Rennes; Univ Rennes; IETR; Institut Pascal. 2017
Rapport
hal-01725126v1
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