Model Management Overview
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Model Management Overview

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    Light
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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 continouse-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.
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