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Deep Lake Docs
Vector Store Quickstart
Deep Learning Quickstart
Storage & Credentials
List of ML Datasets
API Reference
🏢Enterprise Features
- Compute Engine
  - Tensor Query Language (TQL)
    TQL Syntax
    Sampling Datasets
  - Performant Dataloader
- Tensor Database
  - REST API
  - Migrating Datasets to the Tensor Database
📚EXAMPLE CODE
Getting Started
- Vector Store
  Step 1: Hello World
  Step 2: Creating Deep Lake Vector Stores
  Step 3: Performing Search in the Vector Store
  Step 4: Customizing Vector Stores
- Deep Learning
  Step 1: Hello World
  Step 2: Creating Deep Lake Datasets
  Step 3: Understanding Compression
  Step 4: Accessing and Updating Data
  Step 5: Visualizing Datasets
  Step 6: Using Activeloop Storage
  Step 7: Connecting Deep Lake Datasets to ML Frameworks
  Step 8: Parallel Computing
  Step 9: Dataset Version Control
  Step 10: Dataset Filtering
Tutorials (w Colab)
Playbooks
API Summary
🔬Technical Details

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Deep Learning

The comprehensive guide for Deep Lake in Deep Learning applications.

PreviousStep 4: Customizing Vector Stores NextStep 1: Hello World

Last updated 1 year ago

This Deep Learning Getting Started guide is available as a Colab Notebook

Step 1: Hello World Step 2: Creating Deep Lake Datasets Step 3: Understanding Compression Step 4: Accessing and Updating Data Step 5: Visualizing Datasets Step 6: Using Activeloop Storage Step 7: Connecting Deep Lake Datasets to ML Frameworks Step 8: Parallel Computing Step 9: Dataset Version Control Step 10: Dataset Filtering