Model Deployment for Deep Learning
1.1 Model usage process
1.2 Model Deployment Platform
- Online server-side deployment, accuracy priority
- Offline embedded deployment, taking into account accuracy and speed, resource consumption
1.3 Model deployment method
- Raw training framework deployment
- Deployment engine for training framework
- Manual Model Refactoring
- dedicated inference engine