Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Ilia Karmanov

Ilia Karmanov
Data Scientist, Microsoft

Ilia Karmanov is a data scientist working on applying machine learning and deep learning solutions in industry. He is particularly interested in the statistical theory behind deep learning. Ilia holds an MSc in economics from the London School of Economics.

Sessions

11:15–11:55 Wednesday, 23 May 2018
Distributed training of deep learning models
Data science and machine learning
 Location: Capital Suite 13 Level: Advanced
Mathew Salvaris (Microsoft), Miguel Gonzalez-Fierro (Microsoft), Ilia Karmanov (Microsoft)
Average rating: ****.
(4.00, 5 ratings)
Mathew Salvaris, Miguel Gonzalez-Fierro, and Ilia Karmanov offer a comparison of two platforms for running distributed deep learning training in the cloud, using a ResNet network trained on the ImageNet dataset as an example. You'll examine the performance of each as the number of nodes scales and learn some tips and tricks as well as some pitfalls to watch out for. Read more.