Fast, Terabyte-Scale Recommender Training Made Easy with NVIDIA Merlin Distributed-Embeddings – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-26T22:01:23Z http://www.open-lab.net/blog/feed/ Shashank Verma <![CDATA[Fast, Terabyte-Scale Recommender Training Made Easy with NVIDIA Merlin Distributed-Embeddings]]> http://www.open-lab.net/blog/?p=54372 2022-09-01T23:00:57Z 2022-08-31T16:00:00Z Embeddings play a key role in deep learning recommender models. They are used to map encoded categorical inputs in data to numerical values that can be...]]> Embeddings play a key role in deep learning recommender models. They are used to map encoded categorical inputs in data to numerical values that can be...

Embeddings play a key role in deep learning recommender models. They are used to map encoded categorical inputs in data to numerical values that can be processed by the math layers or multilayer perceptrons (MLPs). Embeddings often constitute most of the parameters in deep learning recommender models and can be quite large, even reaching into the terabyte scale. It can be difficult to fit��

Source

]]> 0 ���˳���97caoporen����