Distributed Deep Learning Optimizations

Speaker:  Geeta Chauhan – Santa Clara, CA, United States
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


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

About this Lecture

Number of Slides:  30 - 40
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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