Optimizing deep neural network inference workloads

5 Views
Published
AI, and specifically deep learning, is driving significant advancements in many vertical markets. Deploying this technology at scale requires overcoming many challenges and constraints. Learn about deep neural network inference optimization techniques, their pros and cons, and how to use them together to optimize inference performance.
Visit https://developer.hpe.com/campaign/munch-and-learn
Category
Hewlett Packard Enterprise
Tags
AI, ML, deep learning
Be the first to comment