Sunday 11:45–12:30 in Auditorium (LYST DEEP LEARNING)
Finding needles in haystacks with Deep Neural Networks
Calvin Giles
- Audience level:
- Experienced
Description
With an inventory of millions of products, finding duplicates is intractable by hand. Neural networks can be used to learn a representation that maps duplicates close together in a manifold.
Abstract
We trained a network to perform multi-task classification. Using this as a basis, we trained a manifold that maps images to a space where duplicates have a small distance and different products have a large distance.
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