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Deep Learning for Image Understanding at Scale
Recorded at:

| by Stacey Svetlichnaya Follow 0 Followers on Jul 05, 2017 | NOTICE: QCon.ai - Applied AI for Developers Apr 15 - 17, 2019, San Francisco. Join us!
38:41

Summary
Stacey Svetlichnaya discusses strategies and challenges building deep learning systems for object recognition at scale, using automatic labels in Flickr image search as a case study.

Bio

Stacey Svetlichnaya develops computer vision systems as part of the Yahoo Vision and Machine Learning team with a focus on Flickr, applying deep learning to object recognition, photographic style classification, aesthetics, emoji prediction, etc. She previously worked on an image search engine based on visual similarity with LookFlow, which Yahoo acquired in 2013.

Data Science is an emerging field that allows businesses to effectively mine historical data and better understand consumer behavior. This type of scientific data management approach is critical for any business to successfully launch its products and better serve its existing markets.

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