Distributed Deep Learning OptimizationsSpeaker: 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 LectureNumber of Slides: 30 - 40
Duration: 60 minutes
Languages Available: English
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