Infrastructure and Tooling - Full Stack Deep Learning - March 2019

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.

Lecture 4: Infrastructure and Tooling - Full Stack Deep Learning - March 2019