GitHub / matlab-deep-learning / Quantized-Deep-Neural-Network-on-Jetson-AGX-Xavier
How to create, train and quantize network, then integrate it into pre/post image processing and generate CUDA C++ code for targeting Jetson AGX Xavier
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matlab-deep-learning%2FQuantized-Deep-Neural-Network-on-Jetson-AGX-Xavier
PURL: pkg:github/matlab-deep-learning/Quantized-Deep-Neural-Network-on-Jetson-AGX-Xavier
Stars: 11
Forks: 2
Open issues: 1
License: other
Language: MATLAB
Size: 10.4 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago
Topics: code-generation, deep-learning, deployment, example, jetson-nano, jetson-xavier, matlab, matlab-deep-learning, quantization