Training Loss Curve

Definitions

1. A graph showing how training loss changes over time, used to diagnose convergence, instability, or undertraining.

   In plain English: A chart showing how model error changes during training.

   Example: "The training loss curve flattened early, which hinted at a data or learning-rate issue."

Related Terms

• Active Learning
• Adaptive Learning Rate
• Adversarial Training
• Batch Size
• Curriculum Learning
• Deep Learning
• Deep Reinforcement Learning
• Distributed Training