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  • Deep Lake Docs
  • Vector Store Quickstart
  • Deep Learning Quickstart
  • Storage & Credentials
  • List of ML Datasetsarrow-up-right
  • API Referencearrow-up-right
  • 🏢Enterprise Features
    • Compute Engine
    • Tensor Database
  • 📚EXAMPLE CODE
  • Getting Started
  • Tutorials (w Colab)
    • Vector Store Tutorials
    • 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
    • Dataset Visualization
    • 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 PyTorchchevron-rightTraining an Object Detection and Segmentation Model in PyTorchchevron-rightTraining Models Using MMDetectionchevron-right
PreviousCreating Video Datasetschevron-leftNextTraining an Image Classification Model in PyTorchchevron-right

Last updated 2 years ago

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