Monitoring Model Behavior
Anantha discusses using unsupervised metrics to detect anomalies in model behavior, drawing parallels to spotting irregularities in everyday objects like oversized bicycles. Lukas highlights the importance of documenting and addressing even minor discrepancies to maintain model integrity.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Anantha Kancherla — Building Level 5 Autonomous Vehicles
Related Questions