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GitHub / LaErre9 / Zynq_Ultrascale_Vitis_AI_CNN_ZCU102

Workflow for Executing CNN Networks on Zynq Ultrascale+ with VITIS AI. Detailed analysis, configuration, and execution of Convolutional Neural Networks on ZCU102 using VITIS AI, evaluating performance on the board compared to Cloud infrastructure. Developed for educational exam purposes.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LaErre9%2FZynq_Ultrascale_Vitis_AI_CNN_ZCU102

Stars: 9
Forks: 1
Open Issues: 0

License: gpl-3.0
Language: Jupyter Notebook
Repo Size: 252 MB
Dependencies: pending

Created: 11 months ago
Updated: about 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago

Topics: ai-embedded-systems, deep-learning-processor-unit, dpu, mpsoc, petalinux, traffic-sign-recognition, vitis-ai, vivado, zcu102, zynq-ultrascale

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