Utilizing AMD Field Programmable Gate Array (FPGA) hardware to deploy a quantized and modified neural network for rail fault detection, addressing the challenge of implementing automated rail defect detection on resource-constrained edge devices.
-
Notifications
You must be signed in to change notification settings - Fork 0
Utilizing AMD Field Programmable Gate Array (FPGA) hardware to deploy a quantized and modified neural network for rail fault detection, addressing the challenge of implementing automated rail defect detection on resource-constrained edge devices.
JialeLiLab/Pervasive-AI-Developer-Contest2024
About
Utilizing AMD Field Programmable Gate Array (FPGA) hardware to deploy a quantized and modified neural network for rail fault detection, addressing the challenge of implementing automated rail defect detection on resource-constrained edge devices.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published