Distributed Training — Topic Summaries
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Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)
Deep learning progress depends less on model code than on the surrounding “infrastructure and tooling” that turns raw data into continuously...
Lecture 02: Development Infrastructure & Tooling (FSDL 2022)
Machine learning development runs on a “data flywheel,” but getting from an idea to a reliable system at scale depends on disciplined software...
Frameworks & Distributed Training (5) - Infrastructure & Tooling - Full Stack Deep Learning
Deep learning frameworks have shifted from “fast in production, painful in development” toward a convergence where developers write in Python with...