Training & Deployment
TinyMind supports both on-device training and a train-offline-deploy-lean workflow with PyTorch.
| Topic | Description |
|---|---|
| Advanced Training Techniques | Adam, RMSprop, gradient clipping, weight decay, learning rate scheduling, early stopping |
| PyTorch Interoperability | Train in PyTorch, export weights, deploy in C++ at 40-60% less memory |