Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Stephen Merity

Stephen Merity
Senior Software Engineer, Salesforce Research

Website | @smerity

Stephen Merity is a senior research scientist at Salesforce Research (formerly MetaMind), where he works on researching and implementing deep learning models for vision and text, with a focus on memory networks and neural attention mechanisms for computer vision and natural language processing tasks. Previously, Stephen worked on big data at Common Crawl, data analytics at, and online education at Grok Learning. Stephen holds a master’s degree in computational science and engineering from Harvard University and a bachelor of information technology from the University of Sydney.


5:10pm5:50pm Wednesday, March 15, 2017
Data science & advanced analytics
Location: 210 C/G Level: Intermediate
Secondary topics:  Deep learning, Hardcore Data Science
Stephen Merity (Salesforce Research)
Average rating: ****.
(4.67, 3 ratings)
While attention and memory have become important components in many state-of-the-art deep learning architectures, it's not always obvious where they may be most useful. Even more challenging, such models can be very computationally intensive for production. Stephen Merity discusses the most recent techniques, what tasks they show the most promise in, and when they make sense in production systems. Read more.