Скачать или смотреть Data exploration and versioning with Activeloop and DeepLake for Machine Learning PART 2

Activeloop is a platform for sharing and visualising datasets while Deep Lake is an array interface for data arrays stored in Activeloop or other remote storage locations, Activeloop and Deep Lake is used for versioning of datasets.

In this video we will learn how to use data versioning, data branches, merging and the query engine to work with a constantly evolving image dataset.

In part one we learned to use the user interface in Activeloop and how deeplake could be used to perform a training of an ML model using the MNIST dataset from the Activeloop platform.
PART 1:    • Data exploration and versioning with Activ...  

In the third part we look at building data flywheels and evaluating object detection models.
The data flywheel: Activeloop and manot.ai for evaluating detections and finding new data
PART 3:    • The data flywheel: Activeloop and manot.ai...