v3.6.18
v3.9.16
v3.9.0
v3.8.27
v3.8.19
v3.8.16
v3.8.2
v3.8.0
v3.7.2
v3.7.1
v3.7.0
v3.6.18
v3.6.10
v3.6.8
v3.6.3
v3.6.2
v3.6.1
v3.6.0
v3.5.0
v3.4.0
v3.2.22
v3.2.21
v3.2.9
v3.2.0
v3.1.5
v3.1.1
v3.1.0
v3.0.16
v3.0.10
v3.0.0
API Reference
GitHub
Slack
Service Status
Login
More
API Reference
GitHub
Slack
Service Status
Login
Ask or search...
Ctrl + K
Getting Started
Deep Learning
The comprehensive guide for Deep Lake in Deep Learning applications.
Previous
Step 4: Customizing Vector Stores
Next
Step 1: Hello World
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