Deep Learning

Using Deep Lake for managing data in Deep Learning applications.

Deep Lake as a Data Lake For Deep Learning

Deep Lake can be used as a data management tool for Deep Learning applications, enabling teams to create and ship models faster. Deep Lake's primary capabilities are:

  • Store and organize unstructured data (images, audios, nifti, videos, text, metadata, and more) in a versioned data format optimized for Deep Learning performance.

  • Rapidly query and visualize your data in order to create optimal training sets.

  • Stream training data from your cloud to multiple GPUs, without any copying or bottlenecks.

Last updated