Self-Healing Neural Networks in PyTorch: Fix Model Drift in Real Time Without Retraining

A novel self-healing neural network approach enables real-time detection and correction of model drift without the need for retraining or system downtime. By utilizing a lightweight adapter, the network dynamically adapts to changing data distributions, achieving a 27.8% recovery in accuracy, thereby enhancing model robustness in production environments.