Deep Learning at Scale
At the Intersection of Hardware, Software, and Data
Full-stack deep learning: scaling models across hardware, data pipelines, and deployment.
About the book
Bridges theory and production. Covers distributed computing, GPU optimization, data strategies, and infrastructure for scaling DL projects. Essential for engineers moving from notebooks to real systems.
Summary
Summary coming soon!