Hardware-Accelerated ZYNQ-NET Convolutional Neural Networks on Virtex-7 FPGA
Author:
Funder
Zewail City of Science and Technology
Siemens
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9664825/9664893/09664956.pdf?arnumber=9664956
Reference13 articles.
1. Power Efficient Design of High-Performance Convolutional Neural Networks Hardware Accelerator on FPGA: A Case Study With GoogLeNet
2. ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network;gschwend,2016
3. Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications
4. CNN-Grinder: From Algorithmic to High-Level Synthesis descriptions of CNNs for Low-end-low-cost FPGA SoCs
5. Hardware Acceleration of High Sensitivity Power-Aware Epileptic Seizure Detection System Using Dynamic Partial Reconfiguration
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