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v3.6.1

v3.6.1

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
- Deep Learning
Tutorials (w Colab)
Playbooks
API Summary
🔬Technical Details

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Getting Started

Deep Learning

The comprehensive guide for Deep Lake in Deep Learning applications.

PreviousStep 4: Customizing Vector Stores NextStep 1: Hello World

Last updated 2 years ago

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

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

Step 1: Hello World