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  • Deep Lake Docs
  • List of ML Datasets
  • Quickstart
  • Dataset Visualization
  • Storage & Credentials
  • API Reference
    • Querying Datasets
    • Performant Dataloader
  • Getting Started
  • Tutorials (w Colab)
    • Creating Datasets
    • Training Models
      • Training an Image Classification Model in PyTorch
      • Training Models Using MMDetection
      • Training Models Using PyTorch Lightning
      • Training on AWS SageMaker
      • Training an Object Detection and Segmentation Model in PyTorch
    • Data Processing Using Parallel Computing
  • Playbooks
  • API Summary
    • Data Layout
    • Version Control and Querying
    • Tensor Relationships
    • Visualizer Integration
    • Shuffling in ds.pytorch()
    • Storage Synchronization
    • How to Contribute
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  1. Tutorials (w Colab)

Training Models

Workflows for training models using Hub datasets (includes Colab notebooks)

Training an Image Classification Model in PyTorchTraining an Object Detection and Segmentation Model in PyTorchTraining Models Using MMDetection
PreviousCreating Video DatasetsNextTraining an Image Classification Model in PyTorch

Last updated 3 years ago

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