Recommender systems are being deployed everywhere to deliver personalized experiences.
Siraj Raval, a former software engineer at Meetup and CBS Interactive, recently launched an entertaining yet informative YouTube channel called Sirajology aimed to inspire and equip developers to build the future.
His recent tutorial video explains how you can create a recommender system in just 10 lines of C++ code using Amazon’s DSSTNE deep learning framework and GPUs in the Amazon Web Services cloud.
Interested in deep learning? Check out these other GPU-accelerated deep learning projects.
Easily Build Your First Movie Recommender System
May 30, 2016
Discuss (0)
Related resources
- DLI course: Building Intelligent Recommender Systems
- GTC session: Transformers for Recommender Systems in Fashion Ecommerce
- GTC session: Recommender Systems 101: Accelerating Training at Scale
- GTC session: Scaling a Transformer-Powered Recommendation Model for Personalized Online Advertising
- NGC Containers: DLI Recommender Systems Course - Base Environment
- SDK: Merlin
About the Authors
