Topic GuidesΒΆ
Topic guides discuss different concepts and topics about Determined and deep learning at a high level. They provide useful information and explanation. Below you will find some suggested starting guides.
Hyperparameter Tuning
Distributed Training
System Concepts
Elastic Infrastructure
Model Definitions
Kubernetes
The full list of our topic guides can be found below:
- Benefits of Determined
- Determined on Kubernetes
- Specifying Custom Pod Specs
- Effective Distributed Training
- Experiment Lifecycle
- Exporting Models and Checkpoints
- Hyperparameter Tuning Defined
- Hyperparameter Tuning With Determined
- Model Definitions
- Trial API
- Best Practices for Model Definitions
- Optimizing Distributed Training
- Reproducibility
- Scheduling
- System Architecture
- Determined on AWS
- Determined on GCP
- Elastic Infrastructure
- Dynamic Agents on GCP
- Dynamic Agents on AWS
- AWS Spot Instances
- Terminology and Concepts
- Transport Layer Security
- Training Units
- User Interfaces
- Users
- YAML Topic Guide