47 min listen
MLOps and tracking experiments with Allegro AI
MLOps and tracking experiments with Allegro AI
ratings:
Length:
51 minutes
Released:
Jul 20, 2020
Format:
Podcast episode
Description
DevOps for deep learning is well… different. You need to track both data and code, and you need to run multiple different versions of your code for long periods of time on accelerated hardware. Allegro AI is helping data scientists manage these workflows with their open source MLOps solution called Trains. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust.
Released:
Jul 20, 2020
Format:
Podcast episode
Titles in the series (100)
Robot Perception and Mask R-CNN: with Chris DeBellis by Practical AI: Machine Learning, Data Science