- 21 Sep 2023
Model Management Overview
- Updated On 21 Sep 2023
Dataloop's Model-Management module enables you to manage your models lifecycle
- Use public model architectures or connect your own models
- Train model versions with data items and their annotations
- Experiment with different hyper-parameters
- Evaluate you models by inferencing over datasets
- Compare model training and evaluation metricsy, review false-positive and false-negative examples
- Deploy your models to run as a service with Dataloop applications
- Build continuous learning pipelines
To install, train and deploy models using Dataloop SDK, read this tutorial on our SDK documentation site.
To access Model-Management module - Select "Model Management" menu item from the left-side navigation menu.