Explore essential infrastructure and tooling for deep learning projects in this comprehensive lecture from the Full Stack Deep Learning March 2019 bootcamp. Learn about the critical decision-making process between on-premise and cloud GPU machines, effective methods for tracking experiments, and all-in-one solutions like AWS SageMaker. Presented by Sergey Karayev, this 1-hour 14-minute session provides valuable insights into setting up and managing the technical backbone of deep learning initiatives, equipping you with the knowledge to optimize your project's infrastructure for success.
Infrastructure and Tooling - Full Stack Deep Learning - March 2019
Overview
Syllabus
Lecture 4: Infrastructure and Tooling - Full Stack Deep Learning - March 2019
Taught by
The Full Stack
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