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  • Deep Lake Docs
  • List of ML Datasets
  • Quickstart
  • Dataset Visualization
  • Storage & Credentials
  • API Reference
  • Enterprise Features
    • Querying Datasets
    • Performant Dataloader
  • EXAMPLE CODE
  • Getting Started
  • Tutorials (w Colab)
    • Deep Lake Vector Store in LangChain
    • 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
    • Updating Datasets
    • Data Processing Using Parallel Computing
  • Playbooks
  • API Summary
  • Technical Details
    • Best Practices
    • Data Layout
    • Version Control and Querying
    • Tensor Relationships
    • Visualizer Integration
    • Shuffling in dataloaders
    • How to Contribute
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  1. Tutorials (w Colab)

Training Models

Workflows for training models using Deep Lake 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 2 years ago

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