Distributed Deep Learning Optimizations

Ms. Geeta Chauhan
Silicon Valley Software Group, AI Practice Head / CTO

Stevenson 1301
12:00 PM

This talk will cover how to build and deploy distributed deep learning models at scale. You will learn how to parallelize your models, and techniques for optimizing your cluster for faster performance for both model training and inference. The talk will also cover use cases from different verticals like FinTech, Medical Diagnostics, Automotive sector.

Source Slides: http://bit.ly/2rvqall

An ACM Distinguished Speaker