Fixing PyTorch Model Drift with Self-Healing Networks
Fixing PyTorch model drift shouldn’t require hourly retraining. In this deep dive, I explain how to use a self-healing neural network architecture with a ReflexiveLayer adapter. Learn to detect drift label-free and implement async weight updates that won’t block inference, recovering accuracy without the downtime of traditional retraining cycles.