SageMaker Debugger
In this section, you will learn about Amazon SageMaker Debugger, unraveling the intricacies of monitoring, profiling, and debugging ML model training:
- Monitoring and profiling: SageMaker Debugger captures model metrics and keeps a real-time eye on system resources during training, eliminating the need for additional code. It not only provides a window into the training process but empowers instant issue correction, expediting training and elevating model quality.
- Automatic detection and analysis: A true time-saver, Debugger automatically spots and notifies you of common training errors, such as oversized or undersized gradient values. Say goodbye to days of troubleshooting; Debugger reduces it to mere hours.
- Profiling capabilities: Venture into the realm of profiling with Debugger, which meticulously monitors system resource utilization metrics and allows you to profile training jobs. This involves collecting detailed metrics from your ML framework...
