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GTC On-Demand

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Abstract:
We'll share information and lessons learned from developing a scalable visual search engine to handle a massive volatile inventory like eBay. We'll describe how eBay data is challenging for visual search, how to leverage a single deep neural network to perform multiple tasks efficiently, how to deploy our solution in a distributed cloud infrastructure, and which optimizations we have made for a trade-off between relevance and latency. We'll give examples and insights to benefit computer vision practitioners in the industry who intend to build up visual search engines from scratch.
We'll share information and lessons learned from developing a scalable visual search engine to handle a massive volatile inventory like eBay. We'll describe how eBay data is challenging for visual search, how to leverage a single deep neural network to perform multiple tasks efficiently, how to deploy our solution in a distributed cloud infrastructure, and which optimizations we have made for a trade-off between relevance and latency. We'll give examples and insights to benefit computer vision practitioners in the industry who intend to build up visual search engines from scratch.  Back
 
Topics:
AI Application Deployment and Inference, Data Center and Cloud Infrastructure, Computer Vision
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8766
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