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2019 GTC San Jose

S9704 - Taming the Deep Learning Workflow

Session Speakers
Session Description

Despite enormous excitement about the potential of deep learning, building deep learning-powered practical applications remains an enormous challenge. The necessary expertise is scarce, hardware requirements can be prohibitive, and current software tools are immature and limited in scope. We'll describe how deep learning workflows are supported by existing software tooling. Learn about promising opportunities to dramatically improve these workflows via novel algorithmic and software solutions, including resource-aware neural architecture search and fully automated GPU training-cluster orchestration. This talk draws on academic work at CMU, UC Berkeley, and UCLA, as well as our experiences at Determined AI, a startup that builds software to make deep learning engineers more productive.


Additional Information
Deep Learning/AI Frameworks
Data Center/Cloud Infrastructure Deep Learning/AI Frameworks
General
Intermediate technical
Talk
50 minutes
Session Schedule