Important: This video was created in September 2021. For the most up-to-date code examples, please refer to the Neptune docs.
What will you learn?
How you can do basic model monitoring of your training process. You will:
- See the training progress by looking at learning curves for loss and accuracy
- Monitor hardware consumption during training across GPU/CPU/MEMORY
Other useful resources
Check also the docs on how to monitor model training live.
More about How to Monitor Model Training Runs Live
See also
What is a Project in Neptune?
See also
Model Training: Detectron2 + neptune.ai Integration [Example]
See also
Model Training: Prophet + neptune.ai Integration [Example]
See also
Create AzureML Pipeline – Workshop with Aurimas Griciūnas
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