Productionizing Deep Learning Models at Scale

Explore the challenges and solutions for deploying machine learning and deep learning models in production environments in this 28-minute conference talk from the Toronto Machine Learning Series. Learn about emerging patterns, state-of-the-art methods, and best practices used by leading companies to productionize ML/DL models at scale. Dillon Erb, CEO and Cofounder of Paperspace, contrasts the well-established ecosystem for deploying SaaS applications with the evolving landscape of ML/DL model deployment. Gain insights into the tools and strategies for delivering, monitoring, and deploying ML/DL models in real-time, addressing the unique challenges faced in this rapidly growing field.

Productionizing Deep Learning Models at Scale